Updated on 2024/07/13

写真a

 
OHASHI Shintaroh
 
Organization
Academic Assembly Institute of Science and Technology NOUGAKU KEIRETSU Associate Professor
Faculty of Agriculture Department of Agriculture Associate Professor
Title
Associate Professor
External link

Degree

  • Doctor(agriculture) ( 2006.9   Niigata University )

Research Areas

  • Environmental Science/Agriculture Science / Agricultural environmental engineering and agricultural information engineering  / Greenhouse horticulture, heat pump, energy, local resources, non-destructive detection, near-infrared spectroscopy, image processing

Research History (researchmap)

  • Niigata University   Faculty of Agriculture   Associate Professor

    2018.10

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  • Niigata University   Graduate School of Science and Technology   Assistant Professor

    2008.5 - 2018.9

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Research History

  • Niigata University   Faculty of Agriculture Department of Agriculture   Associate Professor

    2018.10

  • Niigata University   Faculty of Agriculture Department of Agriculture   Assistant Professor

    2017.4 - 2018.9

  • Niigata University   Graduate School of Science and Technology Environmental Science and Technology   Assistant Professor

    2013.4 - 2018.9

  • Niigata University   Graduate School of Science and Technology Environmental Science and Technology   Assistant Professor

    2013.4 - 2018.9

  • Niigata University   Faculty of Agriculture Department of Production and Environment Science   Assistant Professor

    2013.4 - 2017.3

  • Niigata University   Graduate School of Science and Technology Environmental Science and Technology   Assistant Professor

    2010.4 - 2013.3

  • Niigata University   Graduate School of Science and Technology Environmental Science and Technology Climate Change Science for Forestry and Water-Resources   Assistant Professor

    2008.5 - 2010.3

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Professional Memberships

 

Papers

  • Internal disorder evaluation of 'Namdokmai Sithong' mango by near infrared spectroscopy

    Pimjai Seehanam, Patomporn Chaiya, Parichat Theanjumpol, Chantalak Tiyayon, Onuma Ruangwong, Tanachai Pankasemsuk, Kazuhiro Nakano, Shintaroh Ohashi, Phonkrit Maniwara

    HORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY   2022.8

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:KOREAN SOC HORTICULTURAL SCIENCE  

    Internal disorders are a major problem for mango growers and exporters. Internal breakdown (IBD) and black-streaked vascular tissue (BSV) are the most common symptoms found in fruit cultivated in tropical regions, especially in Thailand, where mango is considered the most important agriculture export commodity. The disorders cannot be detected by visual inspection; thus, consumers encounter these unpleasant defects when cutting into the fruit. The present study aimed to detect these internal disorders using the non-invasive technique of near infrared spectroscopy (NIRS). A total of 64 'Namdokmai Sithong' mangoes were harvested at 120 days after flowering (DAF) and manually meshed with a scale of 1.5 x 1.5 cm(2) on both cheeks (totaling 1112 usable areas: intact (792), IBD (230), and BSV (90)). Spectral data were measured between 4000 and 12,500 cm(- 1) for every meshed area via interactance measurement to capture intact and defective flesh. Classification models were thereafter developed using linear discriminant analysis (LDA) and an artificial neural network (ANN). IBD flesh had lower NIR absorbance than BSV and intact flesh. The LDA model discriminated intact flesh from defective flesh with a prediction accuracy of 86.25%. However, it was unable to separate IBD from intact flesh. In the case of non-linear analysis, the ANN reached a classification accuracy of 91.37%, whereby the misclassified matrix showed that intact, IBD and BSV flesh were well discriminated from each other, especially for BSV flesh. In summary, NIRS could be used to detect internal disorders in mango.

    DOI: 10.1007/s13580-022-00435-5

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  • Qualitative Characterization of Astringent and De-astringed Intact 'Xichu' Persimmon Fruit Using VIS/SWNIR and Chemometrics

    Phuangphet Hemrattrakun, Danai Boonyakiat, Kazuhiro Nakano, Shintaroh Ohashi, Phonkrit Maniwara, Sila Kittiwachana, Parichat Theanjumpol

    CHIANG MAI JOURNAL OF SCIENCE   49 ( 2 )   409 - 419   2022.3

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:CHIANG MAI UNIV, FAC SCIENCE  

    Astringency removal is considered as a key process before commercialize persimmon cv. 'Xichu', due to its high content of soluble tannins. Application of carbon dioxide treatment effective in removing astringency and widely used as a commercial postharvest practice for astringent persimmon fruit. The aim of this research is study to the application of visible and shortwave near infrared (VIS/SWNIR) spectroscopy in the spectral data of 400-1100 nm to discriminate astringent (A) and de-astringed (DA) fruit non-destructively based on the sensorial perception as 0.10% soluble tannin of fresh weight. The highest classification accuracy score was obtained from QDA model combined with 2D preprocessing technique as 98.99% in the external validation set. Therefore, the results obtained in this study can be considered as a non-destructive analytical method to monitoring the effectiveness of the astringency removal treatment in 'Xichu' persimmon fruit.

    DOI: 10.12982/CMJS.2022.031

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  • Application of the radial basis function neural networks to improve the nondestructive Vis/NIR spectrophotometric analysis of potassium in fresh lettuces

    Yating Xiong, Shintaroh Ohashi, Kazuhiro Nakano, Weizhong Jiang, Kenichi Takizawa, Kazuyuki Iijima, Phonkrit Maniwara

    JOURNAL OF FOOD ENGINEERING   298   2021.6

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ELSEVIER SCI LTD  

    This study was carried out to evaluate the feasibility of using Vis/near-infrared (Vis/NIR) spectroscopy for determining the potassium concentration in fresh lettuce leaves and petioles of single-variety lettuce and mixed lettuce leaves of two varieties. Partial least squares (PLS) and radial basis function (RBF) neural network were systemically studied and compared as regressions tools in developing the prediction models. Competitive adaptive reweighted sampling (CARS) variable selection and spectral preprocessing (first- and second-order derivatives) were applied to optimize the performance of predictions. On the basis of these selected optimum wavelengths, the established PLS prediction models provided the coefficients of determination (R-2) of 0.83 and 0.71, residual predictive deviations (RPD) were 1.95 and 1.80, and root mean square errors of prediction (RMSEP) were 39.07 and 38.06 mg/100 g for green leaves and petioles, respectively. By comparison, the RBF approach with first-derivative preprocessing spectra was found to provide the best performance of mixed samples, yielding R-2 of 0.86 and 0.88, RMSEP of 31.20 and 27.63 mg/100 g, and RPD of 2.44 and 2.47 for green leaves and petioles, respectively. The overall results of this study revealed the potential for use of Vis/NIR spectroscopy as an objective and non-destructive method to inspect the potassium concentration of fresh lettuces.

    DOI: 10.1016/j.jfoodeng.2020.110417

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  • Comparison of Reflectance and Interactance Modes of Visible and Near-Infrared Spectroscopy for Predicting Persimmon Fruit Quality

    Phuangphet Hemrattrakun, Kazuhiro Nakano, Danai Boonyakiat, Shintaroh Ohashi, Phonkrit Maniwara, Parichat Theanjumpol, Pimjai Seehanam

    FOOD ANALYTICAL METHODS   14 ( 1 )   117 - 126   2021.1

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:SPRINGER  

    The principal aim of this work was to compare the ability of measurement technique among interactance and reflectance in predicting soluble solids content (SSC), ascorbic acid (ASC) and firmness of intact persimmon fruit by using visible/short-wave near-infrared (Vis/SWNIR) spectroscopy. Calibration models were developed by partial least square (PLS) regression that related near-infrared (NIR) spectra to reference values. The root mean square errors of calibration (RMSEC), the root mean square errors of prediction (RMSEP), the correlation coefficients of calibration (Rcal) and prediction (Rval) and the ratio of performance to deviation (RPD) were used to consider the model accuracy. The PLS models from interactance showed satisfactory performance, providing better prediction results than reflectance technique in all parameters. ASC and firmness presented the best calibration models. ASC, Rval = 0.92, RMSEP = 5.56 (mg kg(-1)FW) and RPD = 2.54 were attained when using orthogonal signal correction (OSC) pretreatment. Firmness, Rval = 0.89, RMSEP = 4.21 N and RPD = 2.14 were also achieved using OSC pretreatment. These findings highlighted the potential of Vis/SWNIR spectroscopy with the multivariate calibration technique to be applied for evaluating ASC and firmness of fresh persimmon fruit.

    DOI: 10.1007/s12161-020-01853-w

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  • Quantification of potassium concentration with Vis-SWNIR spectroscopy in fresh lettuce

    Yating Xiong, Shintaroh Ohashi, Kazuhiro Nakano, Weizhong Jiang, Kenichi Takizawa, Kazuyuki Iijima, Phonkrit Maniwara

    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES   13 ( 6 )   2020.11

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:WORLD SCIENTIFIC PUBL CO PTE LTD  

    Chronic kidney disease (CKD) is becoming a major public health problem worldwide, and excessive potassium intake is a health threat to patients with CKD. In this study, visible-shortwave near-infrared (Vis-SWNIR) spectroscopy and chemometric algorithms were investigated as nondestructive methods for assessing the potassium concentration in fresh lettuce to benefit the CKD patients' health. Interactance and transmittance measurements were performed and the competencies were compared based on the multivariate methods of partial least-square regression (PLS) and support vector machine regression (SVR). Meanwhile, several preprocessing methods [first- and second-order derivatives in combination with standard normal variate (SNV)] and wavelength selection method of competitive adaptive reweighted sampling (CARS) were applied to eliminate noise and highlight the spectral characteristics. The PLS models yielded better prediction than the SVR models with higher correlation coefficients (R-2) and residual predictive deviation (RPD), and lower root-mean-square error of prediction (RMSEP). Excellent prediction of green leaves was obtained by the interactance measurement with R-2 = 0.93, RMSEP = 24.86 mg/100 g, and RPD = 3.69; while the transmittance spectra of petioles provided optimal prediction with R-2 = 0.92, RMSEP = 27.80 mg/100 g, and RPD = 3.34, respectively. Therefore, the results indicated that Vis-SWNIR spectroscopy is capable of intelligently detecting potassium concentration in fresh lettuce to benefit CKD patients around the world in maintaining and enhancing their health.

    DOI: 10.1142/S1793545820500297

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  • Non-destructive analysis of Japanese table grape qualities using near-infrared spectroscopy

    Chaorai Kanchanomai, Shintaroh Ohashi, Daruni Naphrom, Wakana Nemoto, Phonkrit Maniwara, Kazuhiro Nakano

    HORTICULTURE ENVIRONMENT AND BIOTECHNOLOGY   61 ( 4 )   725 - 733   2020.8

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    Language:English   Publisher:KOREAN SOC HORTICULTURAL SCIENCE  

    Near-infrared (NIR) spectroscopy is a useful technique for the non-destructive analysis of fruit quality. The key quality parameters of table grapes (Vitis vinifera) that affect consumer preference are the soluble solids content (SSC), pH, firmness, and seedlessness. This research focused on using NIR spectroscopy for assessing the quality of 'Kyoho' table grapes, as a non-destructive analysis under laboratory and field conditions. NIR spectra for each sample were acquired in the wavelength range of 400-1000 nm, using a visible/NIR spectrometer with fibre optics in the interactance mode. Partial least-square regression was used to calibrate the NIR spectral data with all the measured properties of table grapes. The best prediction model for firmness was the Savitzky-Golay first derivative (SGD1) with a coefficient of determination (Rprediction2) of 0.7427 in the laboratory, and 0.7804 in the field. The Rprediction2values for pH in the laboratory and the field was 0.6276 using multiplicative scatter correction (MSC), and 0.7676 using SGD1, respectively. These values were similar to the Rprediction2values of SSC, which were 0.6926 using MSC, and 0.8052 using the Savitzky-Golay second derivative, respectively. In both analyses the R(2)of the calibration model was between 0.6944 and 0.8877. The partial least-square discriminant analysis was used to classify the percentage of seedlessness, which was 93.10% in the laboratory using SGD1 or MSC, and 79.31% in the field using MSC. Therefore, NIR spectroscopy is an efficient non-destructive technique for rapidly analysing Japanese table grape qualities in laboratory and field settings.

    DOI: 10.1007/s13580-020-00256-4

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  • Evaluation of NIRS as non-destructive test to evaluate quality traits of purple passion fruit

    Phonkrit Maniwara, Kazuhiro Nakano, Shintaroh Ohashi, Danai Boonyakiat, Pimjai Seehanam, Parichat Theanjumpo, Pichaya Poonlarp

    SCIENTIA HORTICULTURAE   257   2019.11

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ELSEVIER  

    Quality evaluation of passion fruit is an important practice before consuming or processing. The fruit's total soluble solids (TSS), titratable acidity (TA), and pulp content (PC) were predicted by near-infrared (NIR) spectroscopy. Prediction models were constructed by chemometrics of the partial least squares (PLS) regression on the NIR spectra from interactance spectroscopy. Accurate prediction results were obtained and showed high correlations (r) between the predicted and reference values (0.84, 0.91, and 0.99 for TSS, TA and PC, respectively). Small standard errors of prediction (SEPs) and bias were also found. A robust prediction model of pulp content provided the greatest value of the residual predictive deviation (RPD = 6.4). Variable selection effectively highlighted the important wavelengths and helped to prune the unimportant variables for the TSS, TA and PC produced calibrations with satisfactory results in the predictions (r = 0.84 - 0.98). In conclusion, nondestructive NIR spectroscopy can be a potential predictor for determining purple passion fruit quality.

    DOI: 10.1016/j.scienta.2019.108712

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  • Feasibility of Determination of Foodborne Microbe Contamination of Fresh-Cut Shredded Cabbage Using SW-NIR

    Benjamaporn Matulaprungsan, Chalermchai Wongs-Aree, Pathompong Penchaiya, Phonkrit Maniwara, Sirichai Kanlayanarat, Shintaroh Ohashi, Kazuhiro Nakano

    AGRIENGINEERING   1 ( 2 )   246 - 256   2019.6

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:MDPI  

    Shredded cabbage is widely used in much ready-to-eat food. Therefore, rapid methods for detecting and monitoring the contamination of foodborne microbes is essential. Short wavelength near infrared (SW-NIR) spectroscopy was applied on two types of solutions, a drained solution from the outer surface of the shredded cabbage (SC) and a ground solution of shredded cabbage (GC) which were inoculated with a mixture of two bacterial suspensions, Escherichia coli and Salmonella typhimurium. NIR spectra of around 700 to 1100 nm were collected from the samples after 0, 4, and 8 h at 37 degrees C incubation, along with the growth of total bacteria, E. coli and S. typhimurium. The raw spectra were obtained from both sample types, clearly separated with the increase of incubation time. The first derivative, a Savitzky-Golay pretreatment, was applied on the GC spectra, while the second derivative was applied on the SC spectra before developing the calibration equation, using partial least squares regression (PLS). The obtained correlation (r) of the SC spectra was higher than the GC spectra, while the standard error of cross-validation (SECV) was lower. The ratio of prediction of deviation (RPD) of the SC spectra was higher than the GC spectra, especially in total bacteria, quite normal for the E. coli but relatively low for the S. typhimurium. The prediction results of microbial spoilage were more reliable on the SC than on the GC spectra. Total bacterial detection was best for quantitative measurement, as E. coli contamination could only be distinguished between high and low values. Conversely, S. typhimurium predictions were not optimal for either sample type. The SW-NIR shows the feasibility for detecting the existence of microbes in the solution obtained from SC, but for a more specific application for discrimination or quantitation is needed, proving further research in still required.

    DOI: 10.3390/agriengineering1020018

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  • Eating quality evaluation of Khao Dawk Mali 105 rice using near-infrared spectroscopy

    Pornarree Siriphollakul, Kazuhiro Nakano, Sirichai Kanlayanarat, Shintaroh Ohashi, Ryosuke Sakai, Ronnarit Rittiron, Phonkrit Maniwara

    LWT-FOOD SCIENCE AND TECHNOLOGY   79   70 - 77   2017.6

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ELSEVIER SCIENCE BV  

    Eating quality evaluation of Khao Dawk Mali 105 rice (KDML105) based on near infrared spectroscopy (NIRS) of single kernels was developed to measure the amylose content of uncooked rice, and texture of cooked rice. The rice samples were scanned using near infrared transmittance spectrometry over the wavelengths of 940-2222 nm before cooking. Calibration models of amylose content and cooked rice texture were generated by partial least squares (PLS) regression based on first derivative upon logarithms of transmittance. The PLS regression for amylose content (AC) which were expressed as coefficients of determination (R-2) were 0.95 and 0.92 for calibration and prediction, respectively. Root mean square error of prediction (RMSEP) was 9.9 g/kg, dry weight. The texture of cooked rice was expressed in springiness (H1), resilience (A1), deformation (H2) and cohesiveness (A2) from low and high compression tests. The PLS prediction results (R-pre(2)) for H1, A1, H2 and A2 were 0.61, 0.86, 0.87 and 0.91, respectively. The RMSEP (and bias) were 0.03 (0.004), 0.01 (0.001), 0.02 (0.005) and 0.01 (0.000), correspondingly. The validity of each calibration model was statistically evaluated. The use of NIRS was feasible to predict amylose content of uncooked rice, and eating quality (texture) of cooked rice before cooking. (C) 2017 Elsevier Ltd. All rights reserved.

    DOI: 10.1016/j.lwt.2017.01.014

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  • Development of Year-round Cultivation System Utilizing Hot Spring Drain Water and Mountain Stream Water as a Heat Source in Idle Facilities

    OHASHI Shintaroh, NAKANO Kazuhiro, KIDA Yuma, KOBASHI Kouhei

    Journal of the Japanese Society of Agricultural Machinery and Food Engineers   79 ( 3 )   248 - 253   2017.5

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    Language:Japanese   Publisher:Japanese Society of Agricultural Machinery and Food Engineers  

    In order to revitalize agricultural production activities in an inter-mountainous area, we built a cultivation facility utilizing regional resources with a view to developing ‘sixth industrialization’, and evaluated the effectiveness of the system.

    For this research, idle facilities were used as horticultural facilities to cultivate sweet potatoes. Heat pumps were introduced to the cultivation environment with hot spring drain water and mountain stream water used as a heat source. In addition, a multi-stage cultivation system incorporating a subsurface heating device, also utilizing hot spring drain water heat, was constructed to promote tuberous root enlargement and increase yield. In conclusion, we examined how to efficiently utilize hot spring drain water as a heat source and confirmed the effectiveness of a system based on the use of regional resources on increasing yield.

    DOI: 10.11357/jsamfe.79.3_248

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    Other Link: https://agriknowledge.affrc.go.jp/RN/2010925040

  • NONDESTRUCTIVE EVALUATION OF SOLUBLE SOLIDS CONTENT IN PERSIMMON FRUIT CV. XICHU

    Phuangphet Hemrattrakun, Danai Boonyakiat, Kazuhiro Nakano, Shintaroh Ohashi, Pichaya Poonlarp, Parichat Theanjumpol, Phonkrit Maniwara

    ACTUAL TASKS ON AGRICULTURAL ENGINEERING   45   351 - 358   2017

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:AGRONOMSKI FAKULTET SVEUCILISTA U ZAGREBU  

    Consumer acceptance and satisfaction regarding the quality of product is an important issue in marketing. Soluble solids content, so-called SSC, is the most important quality parameter used to indicate sweetness of fresh and processed horticultural products.Due to the increasing demand of internal quality assurance in the fresh product, industry has spurred the development of wide range of advanced, rapid, real time, reliable and non-invasive technologies for quality assessment. Near infrared (NIR) spectroscopy has shown significant potential to analyze postharvest quality parameters of several types of fruits and vegetables.This paper presented an experimental research of the possibility of visible/near infrared (Vis/NIR) spectroscopy for monitoring internal quality of persimmon fruit. Calibration model relating Vis/NIR spectra (700-1100 nm) to SSC during de-astringency process was developed based on interactance mode of measurement. The developed calibration model was subsequently tested its accuracy by external validation set. The prediction performance was analyzed by using correlation coefficient of prediction (R-pre) between NIR model predicted values and measure values, standard error of prediction (SEP), root mean square errors of prediction (RMSEP), and bias, for preliminary estimation of the sweetness of persimmon fruit during de-astringency.

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  • THE INFLUENCE OF DESIGN PARAMETERS ON THE INITIAL SPRAY CHARACTERISTICS OF THE HIGH-PRESSURE AIR INCLUSION NOZZLE

    Geng Bai, Kazuhiro Nakano, Shintaroh Ohashi, Tomomichi Mizukami, Haijun Yan, Somsak Kramchote

    ATOMIZATION AND SPRAYS   26 ( 4 )   301 - 317   2016

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:BEGELL HOUSE INC  

    Flat-fan air inclusion nozzles, usually with a high-pressure range of 1-1.5 MPa, have been widely used as one of the best drift control methods on agricultural boom sprayers in Japan. To get a better understanding of the relationship between the nozzle design parameters (pre-orifice diameter and final orifice area) and the initial spray characteristics (droplet size characteristics, spray angle, liquid flow rate, and included air within droplets), the influence of the above parameters of the KIRINASHI ES series nozzles on the initial spray characteristics was investigated under different nozzle pressures. The results show that the pre-orifice diameter, final orifice area, and nozzle pressure significantly affect the volume median diameter (D-v0.5). In addition, the nozzle pressure and the pre-orifice diameter had positive correlations with the spray angle while the pre-orifice diameter and the final orifice area significantly influenced the spray liquid density which can indicate the quantity of included air within droplets. The corresponding multivariate regression analysis was carried out and relatively high values of the coefficient of determinations (R-2) were obtained between several nozzle parameters and the D-v0.5, and also the spray liquid density and the liquid flow rate.

    DOI: 10.1615/AtomizSpr.2015011488

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  • LED measurement for development of a non-destructive detector of unsuitable chicken eggs in influenza vaccine production

    Kohei Kimura, Kazuhiro Nakano, Shintaroh Ohashi, Kenichi Takizawa, Takayuki Nakano

    BIOSYSTEMS ENGINEERING   134   68 - 73   2015.6

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ACADEMIC PRESS INC ELSEVIER SCIENCE  

    In Japan, fertilised chicken eggs are used to produce influenza vaccines; however, some eggs die and then contaminate the vaccine stock solution, which causes large economic losses and raises health concerns. Therefore, a non-destructive test that allows distinction of normal and unsuitable chicken eggs was developed, first using visible and near-infrared (VNIR) spectroscopy and subsequently a light-emitting diode (LED) light source. Eggs were sampled from an egg farm, and each of the eggs categorised as either normal or unsuitable using candling. Linear discriminant analysis was applied using wavelength absorbance data to distinguish between normal and unsuitable eggs. All of the optical absorbance values of the normal eggs were found to be higher than those of unsuitable eggs. To reduce the production cost, LED lights and photodiodes were used as the light source and light receptors, respectively. A discrimination rate of 92.9% was obtained when LED was used as the light source. (c) 2015 IAgrE. Published by Elsevier Ltd. All rights reserved.

    DOI: 10.1016/j.biosystemseng.2015.03.011

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  • The use of visible and near infrared spectroscopy for evaluating passion fruit postharvest quality

    Phonkrit Maniwara, Kazuhiro Nakano, Danai Boonyakiat, Shintaroh Ohashi, Masaru Hiroi, Tadahiro Tohyama

    JOURNAL OF FOOD ENGINEERING   143   33 - 43   2014.12

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ELSEVIER SCI LTD  

    Visible and short-wave near infrared spectroscopy (Vis/SWNIRS) was investigated using a non-destructive method for evaluating passion fruit quality. In this study, interactance and transmission measurements were performed and their competences were compared. Prediction models of soluble solids content (SSC), titratable acidity (TA), ascorbic acid content (ASC), ethanol concentration (EtOH), peel firmness (PF) and pulp percentage (PP) were developed based on multivariate methods of partial least square regression (PLSR) analysis. The PLS models from interactance measurements provided better prediction results than the transmission technique. The best model was obtained from interactance SSC calibration with a correlation coefficient between measured and predicted values (R) of 0.923. Furthermore, the PLS models generated from interactance and transmission spectra also provided satisfactorily prediction results for EtOH, PF and PP. However, all calibrations failed to predict ASC by providing low correlations and high root mean square errors of prediction (RMSEP). (C) 2014 Elsevier Ltd. All rights reserved.

    DOI: 10.1016/j.jfoodeng.2014.06.028

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  • Rapid determination of cabbage quality using visible and near-infrared spectroscopy

    Somsak Kramchote, Kazuhiro Nakano, Sirichai Kanlayanarat, Shintaroh Ohashi, Kenichi Takizawa, Geng Bai

    LWT-FOOD SCIENCE AND TECHNOLOGY   59 ( 2 )   695 - 700   2014.12

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ELSEVIER  

    The feasibility of Vis-NIR spectroscopy was investigated for its ability to determine the quality of cabbage. This study aims to compare the prediction ability of interactance and reflectance measurements in determining the quality of cabbage (moisture, SSC and ascorbic acid contents). The wavelength ranges of 500-1100 nm were used in this experiment. Two types of data preprocessing were applied to enhance the calibration model based on partial least squares (PLS) regression with respect to the logarithms of reciprocal absorbance (log (1/R)), its first and second derivatives. The PLS regression models for moisture content yielded correlation coefficients (R-2) of 0.48-0.67 and root mean square error of prediction (RMSEP) of 2.34-2.83 g/kg for interactance, with R-2 of 0.58-0.74 and RMSEP of 2.50-3.25 g/kg for reflectance. The PLS statistics for SSC were R-2 of 0.59-0.66 and RMSEP of 0.20-0.22 degrees Brix for interactance and R-2 of 0.53-0.64 and RMSEP of 0.22-0.27 degrees Brix for reflectance, respectively. Statistics for ascorbic acid content were R-2 of 0.24-0.61 and RMSEP of 0.11-0.15 g/kg FW for interactance and R-2 of 0.35-0.38 and RMSEP of 0.13 g/kg FW for reflectance. Finally, it is possible to use the Vis/NIR spectroscopy as a rapid tool for evaluating the cabbage quality. (C) 2014 Elsevier Ltd. All rights reserved.

    DOI: 10.1016/j.lwt.2014.07.009

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  • Development of nondestructive technique for detecting internal defects in Japanese radishes

    Kenichi Takizawa, Kazuhiro Nakano, Shintaroh Ohashi, Hiroshi Yoshizawa, Jian Wang, Yasuhumi Sasaki

    JOURNAL OF FOOD ENGINEERING   126   43 - 47   2014.4

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ELSEVIER SCI LTD  

    Numerous vegetable types, such as the large Japanese radish known as "daikon" are prone to internal defects that are impossible to detect with the human eye. Nondestructive measurement provides a suitable technique for detecting defects such as black heart, and air cavities that make such radishes unmarketable. In this paper, we report on the development of a nondestructive detection algorithm for visible/near infrared (Vis/NIR) spectroscopy that can be used to detect internal defects in Japanese radishes. Using the first derivative, selected Vis/NIR wavelengths were calculated by a stepwise forward selection method and then used as classifying parameters in a LDA, PLS-DA, and a neural network. The LDA and neural network were then used to build the detection algorithm based on leave-one-out cross validation. The PLS-DA was then used to build the detection algorithm based on double loop leave-one-out cross validation. When the LDA and PLS-DA were used for the prediction set (removed samples), both of the overall discriminant rate were 90.1%. When the error goal was 0.05 and the number of hidden neurons was 13, the discriminant rates for normal radishes, radishes with internal defects, and the total for all samples were 97.0%, 82.9% and 92.4%, respectively. These results show the potential of the proposed techniques for detecting defects and predicting the internal quality of Japanese radishes. (C) 2013 Elsevier Ltd. All rights reserved.

    DOI: 10.1016/j.jfoodeng.2013.10.041

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  • カリキュラムマップを用いた成績評価に基づく学習成果の可視化(2) Reviewed

    有田, 博之, 粟生田, 忠雄, 大橋, 慎太郎, 権田, 豊, 箕口, 秀夫, 村上, 拓彦, 山下, 沙織, 生田, 孝至, 後藤, 康志, 佐藤, 喜一

    新潟大学高等教育研究   1 ( 1 )   9 - 16   2013.11

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    本研究では, カリキュラムマップを用いた成績評価に基づく学習成果の可視化において, 既に整備されている人材育成の枠組みを活用する力法と, その課題を明らかにするととを目的とする.既存のJABEE学習教育目標と主専攻プログラムの到達目標を整理する手法を用いた可視化を提案すると共に, 到達目標毎の配点のばらつきによる可視化された学習成果の見え方について議論した.

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  • Characteristics and classification of Japanese nozzles based on relative spray drift potential

    Geng Bai, Kazuhiro Nakano, Tomomichi Mizukami, Sumihiko Miyahara, Shintaroh Ohashi, Yosuke Kubota, Ken-ichi Takizawa, Haijun Yan

    CROP PROTECTION   46   88 - 93   2013.4

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    European spray nozzle drift classifications have enabled the objective evaluation of the drift reduction performance of different nozzles with various operating parameters available in certain areas. The drift potential index reduction percentage (DIXRP) for one series of drift reduction nozzles used in Japan was investigated by wind tunnel tests. Based on the reference spray (Hypro ISO F110 03), most of the YAMAHO KIRINASHI ES nozzles had DIXRP values above 50% at nozzle heights from 0.3 m to 0.5 m, which means these nozzles can be considered as drift reduction nozzles. The best nozzle height range was found to be between 0.3 m and 0.4 m above the crop canopy. In addition, the DIXRP values were above 80% for a nozzle height of 0.3 m, except for one nozzle (the ES 05) which had the smallest droplet size and low flow rate which contributed to the large decrease in the DIXRP values when nozzle pressure increased. Large droplet diameter, high droplet velocity and low recommended nozzle height are considered to be important factors that can provide good drift reduction performance although droplet velocity was not measured in this study. The DIXRP value was inversely proportional to nozzle height. In addition, the influence of nozzle size on the DIXRP values was found to be statistically significant (P < 0.01), although the influence was not as obvious as that of nozzle height. Finally, a nozzle classification system for use in Japan based on the relative drift potential has been established. (C) 2013 Elsevier Ltd. All rights reserved.

    DOI: 10.1016/j.cropro.2012.12.017

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  • QUANTIFYING POSTHARVEST LOSS OF CABBAGE IN THE SUPPLY CHAIN IN THAILAND

    Somsak Kramchote, Sirichai Kanlayanarat, Varit Srilaong, Thananya Wasusri, Chalermchai Wongs-Aree, Kazuhiro Nakano, Shintaroh Ohashi

    TRENDS IN AGRICULTURAL ENGINEERING 2013   359 - 363   2013

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    Cabbage is an important leafy vegetable in Thailand, providing income to many small farmers, processors, and other entrepreneurs, and serving as a health food for rural and urban people. However, cabbage is inherently perishable. During the process of distribution and marketing, substantial losses are incurred which range from a slight loss of quality to total spoilage. Postharvest losses may occur at any point in the marketing process, from the initial harvest through assembly and distribution to the final consumer. The causes of losses are mainly physical damage during handling and transport, water loss, or sometimes simply because there is a surplus in the marketplace and no buyer can be found. The objective of this research was to quantify the postharvest loss of cabbage during transport from the farm to the retail market in Thailand with the optimum remaining leaves and positioning of cabbage on the truck in order to improve the cabbage transport system. The cabbage heads were divided into 4 groups at the farm (0, 2, 4 and 6 wrapper leaves). In addition, the cabbages were also positioned on the truck in different locations (9 locations) and then transported to collection centers, wholesale markets and retail markets. The postharvest losses of cabbage were quantified along the supply chain. The results showed that the highest postharvest loss of cabbage from farm to retail market was found in non-wrapper leaves of cabbages (22 %) while cabbages with 2, 4 and 6 wrapper leaves maintained the postharvest quality by protecting the cabbage head from bruising during transport at about 6, 3 and 2 %, respectively. Moreover, the different locations of cabbages on the truck also affected the severity of postharvest loss. The most severe loss of cabbage heads was found on the top layer of the truck at about 25 % loss in non-wrapper leaf cabbages and a little physical damage in the middle or bottom parts on the truck. Interestingly, cabbages with at least 2 or more wrapper leaves were the most effective in maintaining the postharvest quality during transport from farm to retail market. In this research, we recommended that cabbage farmers keep at least 2 wrapper leaves after harvest to prevent bruising of the cabbage head during transport and fasten the top layer of cabbages on the truck to avoid severe postharvest loss.

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  • DEVELOPMENT OF A NONDESTRUCTIVE DETECTOR OF UNSUITABLE CHICKEN EGGS USING LED LIGHTS FOR INFLUENZA VACCINE PRODUCTION

    Kohei Kimura, Kazuhiro Nakano, Shintaroh Ohashi, Kenichi Takizawa, Takayuki Nakano

    TRENDS IN AGRICULTURAL ENGINEERING 2013   324 - 329   2013

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    In Japan, fertilized chicken eggs are used to produce influenza vaccines. However, some fertilized eggs do not develop after fertilization, develop late, or die during development. If these unsuitable eggs are overlooked and included with normal eggs in the vaccine production process, the manufacturer must dispose whole of the vaccine stock solution in a tank, which results in large economic losses and raises health concerns. Therefore, a nondestructive method that allows distinction of normal and unsuitable chicken eggs was developed, using visible and near-infrared (VNIR) spectroscopy and a light-emitting diode (LED) light source. Normal and unsuitable eggs were sampled from an egg farm, where an experienced farmer assessed the eggs by candling. Linear discriminant analysis was applied using wavelength absorbance data to distinguish between normal and unsuitable eggs, and all of the optical absorbance values of the normal eggs were found to be higher than those of unsuitable eggs. The rate of discrimination between the two types of eggs exceeded 95.8 % when LED board was used. To reduce the production cost, LED lights and photodiodes were used as the light source and light receptors, respectively. The discrimination rate when LED was used as the light source was lower than that when a halogen lamp was used, but was almost the same discrimination rate. LED should be used singly to prevent the adjacent LED light sources from affecting detection because the surrounding LED lights affected the photodiode, thereby reducing the discrimination rate.

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  • THE ENVIRONMENT CONSCIOUS HEATING AND COOLING SYSTEM IN GREENHOUSE FOR USING RENEWABLE ENERGY IN COLD SNOWY REGIONS

    Shintaroh Ohashi, Kazuhiro Nakano, Naoya Kuroda

    TRENDS IN AGRICULTURAL ENGINEERING 2013   475 - 479   2013

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    It is possible to produce agricultural crops throughout the year using greenhouse horticulture in the cold snowy region. However, heating costs for creating the optimal cultivation environments are high - e.g. (Ohashi, Nakano, 2005). In addition, agricultural production in the greenhouse without oil consumption is desired for the realization of a low-carbon society. In order to reduce oil dependency, the heat pump for cooling and heating without oil consumption has aroused remarkably concern again in recent years, especially the water heat pump and air source heat pump which has been widely used in the agricultural field On one hand, the heating efficiency of air source heat pumps decreases due to defrost on the heat exchanger of the outdoor unit in winter of the cold snowy region - e.g. (Furuno et al., 2009).On the other hand, the water heat pump which uses groundwater heat is expected to have the ability of stable operation in winter. However, the problem remains in aspect of the initial investment such as the digging cost of the groundwater well, which restricts the development of water heat pumps. In this study, I focused on the use of the existing equipment which included the groundwater system for melting snow that is popular in the cold snowy region and the agricultural water that is popular in the agricultural areas. Those existing equipment were used as heat supplies and an environment conscious heating and cooling system was build in the greenhouse to reduce the initial investment cost. Comparison with the practices cultivated by oil boilers in winter, CO2 emission was reduced by approximately 12 % by the present system. Furthermore, this system also created a cool environment in summer with a temperature of 20 degrees C in the greenhouse by using the agricultural water. Therefore, the usefulness of the environment conscious heating and cooling system all year round by using the water heat pump was confirmed

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  • THE INFLUENCES OF DROPLET AND NOZZLE CHARACTERISTICS ON THE RELATIVE SPRAY DRIFT OF THE AIR INCLUSION NOZZLE USED IN JAPAN

    Geng Bai, Kazuhiro Nakano, Shintaroh Ohashi, Tomomichi Mizukami, Sumihiko Miyahara, Haijun Yan

    TRENDS IN AGRICULTURAL ENGINEERING 2013   72 - 75   2013

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    Compared with conventional nozzles, drift reduction nozzles with larger droplet diameters have been proven to significantly reduce the amount of spray drift. KIRINASHI ES nozzles have been widely used as drift reduction nozzles in Japan, especially in the Hokkaido region. However, the working parameters for the nozzles (henceforth referred to as nozzle parameters) being used on boom sprayers in Japan are different from those being used in Europe and America. The nozzle using in Japan was called high-pressure nozzles in this study due to the relatively higher nozzle pressure comparing with the nozzle pressure using in other regions. A wind tunnel test for spray drift was carried out before and a classification system was also established. In this study, a deeper analysis was used to investigate the relationship among nozzle parameters and the drift reduction performance of low-pressure nozzles after using a laser analyzer to obtain the droplet size characteristics. The results indicated that the droplet size characteristics were found to have little influence on the drift potential while nozzle height had the strongest influence, followed by nozzle size and nozzle pressure.

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  • 近赤外分光法による微細藻類培養時の収量予測に関する基礎的研究

    新潟大学農学部研究報告   65 ( 1 )   93 - 97   2012.9

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  • 可視・近赤外分光法によるセイヨウナシ‘ル・レクチェ'の渋味果評価の可能性—Possibility of Evaluation of the Astringent Fruit in 'Le Lectier' Pears Using Visible and Near-infrared Spectroscopy

    滝沢, 憲一, 中野, 和弘, 大橋, 慎太郎, 知野, 秀次, 松本, 辰也, 山澤, 康秀, 児島, 清秀

    新潟大学農学部研究報告   64 ( 2 )   179 - 186   2012.3

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    可視・近赤外スペクトルの測定により、ゼラチン法による渋味判定法で取得される濁度について、非破壊的に推定する方法を検討した。供試果実には、新潟県内5か所の産地から生産者3戸ずつ計15戸の生産者から集めた290果を用いた。670と730nm の吸光度二次微分値を説明変数とした検量線を用いて、等分散性を考慮したデータセット(以下,試験1)、ランダムに選抜した5組のデータセット(以下,試験2)の濁度推定を実施した。試験1でSEP は0.235、試験2ではSEP は0.215~0.244であった。また試験2における濁度の実測値と推定値の単相関係数は0.44~0.52であった。
    This study aimed to develop nondestructive techniques based on near-infrared absorption spectroscopy for theestimation of turbidity that is acquired when determining astringency with the gelatin method. For this study, 290 pearswere collected. The samples were harvested from three farmers of five areas in Niigata prefecture, comprising a total of 15areas. Two data sets were analyzed as: a homoscedastic data set(Test 1), five series of selected random data set(Test 2).Turbidity was estimated using a calibration curve of explanatory variables with the second derivative value of absorbance at670 nm and 730 nm. In Test 1, the standard error of prediction (SEP) was 0.235. In Test 2, SEP was 0.215 to 0.244. Further, InTest 2, the simple correlation coefficient (r) of measured values and the estimated value of turbidity was 0.44 to 0.52.

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    Other Link: http://id.ndl.go.jp/bib/023777694

  • 寒冷地の微細藻類培養における伝熱問題と微細藻類由来バイオ燃料の製造

    中野 和弘, 大橋 慎太郎

    伝熱   52   38 - 43   2012

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  • 積雪寒冷地域のハウス栽培におけるローカルエネルギー利用に関する研究

    大橋 慎太郎

    農業施設   42 ( 2 )   47 - 48   2011.9

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  • LED光源を用いたミズナの栽培制御に関する基礎的研究

    新潟大学農学部研究報告   63 ( 2 )   115 - 118   2011.3

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  • ネットメロン育苗時の自動灌水個体管理装置の開発研究

    新潟大学農学部研究報告   61 ( 1 )   105 - 110   2008.9

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  • Extraction of Control Know-How for Charcoal Production and Estimation of the Amount of Exhaust Heat in the Charcoal Kiln

    OHASHI Shintaroh, NAKANO Kazuhiro, EIKI Takashi

    Nogyo Shisetsu (Journal of the Society of Agricultural Structures, Japan)   39 ( 3 )   183 - 189   2008

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    The control techniques of practical charcoaling were considered based on measurement data and the carbonization process. The measurement data included amount of moisture, amount of tar and flow flux of the exhaust fumes from the chimney outlet. The results were as follows:<br>(1) The transition judgment from the 1st stage to the 2nd stage was confirmed by a change in the heating rate from negative to positive in the upper part of the kiln. Charcoaling know-how is the act of reducing the amount of ventilation in response to this.<br>(2) The transition judgment from the 2nd stage to the 3rd stage was confirmed by a reduction in the amount of moisture and tar in the exhaust gas. Charcoaling know-how is the act of extending the opening area of the chimney outlet in response.<br>(3) It is possible to control the carbonization time during the transition period from the 2nd stage to the 3rd stage by controlling the ventilation rate. At this stage it is important for uniform quality in charcoal production and for maintenance of the charcoal production quantity that the temperature in the upper and central parts of the kiln be maintained close to 500°C, and that the chimney outlet be extended in order to cancel the carbonization delay in the lower part of the kiln.<br>(4) The transition judgment from the 3rd stage to the 4th stage was confirmed by the equalization of the temperature in the kiln. Charcoaling know-how was the act of opening of the chimney outlet in response.<br>(5) It is more efficient if the latent heat of the exhaust fumes from the chimney outlet is recovered. In addition, to recover exhaust heat out of kiln consistently, it is more effective to use a number of charcoal kilns under time-lag control based on the parameters of transition from the 2nd stage to the 3rd stage.<br>From these results, control techniques of practical charcoaling can be quantitatively obtained. These are important parameters to systematize the utilization of exhaust heat from charcoal kilns.

    DOI: 10.11449/sasj1971.39.183

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  • Studies on Effective Utilization of the Exhaust Heat in Kiln to Greenhouses (Part 2)-Proposition and Evaluation of Reusable Heat in Carbonization to Greenhouses throughout the Year-

    OHASHI Shintaroh, NAKANO Kazuhiro, SAITOU Sadafumi, YANG Digui

    Nogyo Shisetsu (Journal of the Society of Agricultural Structures, Japan)   38 ( 3 )   167 - 174   2007

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    The cultivation system that is able to use local energy through the year was proposed. The energy demanded of greenhouses and the energy supplied from carbonization was compared, and the effect of the system was evaluated from the viewpoint of thermal energy. The results are as follows:<br>(1) To use available heat efficiently for warming greenhouses, the amount of circulating warm water is about 4, 000L per hour for TDC (Two Days Carbonization) and about 6, 500L per hour for ODC (One Day Carbonization), respectively.<br>(2) During the winter experiment, using warm water heated by the exhaust heat of kilns to heat greenhouses (assume temperature in greenhouse is 20°C), average ratio of alternate heating load is 38.8% from that of TDC, and is 61.6% from that of ODC, respectively.<br>(3) For cooling greenhouses, to use available heat more efficiently, the volume of water tank should be as big as possible.<br>(4) To use available heat efficiently for cooling greenhouses, the amount of circulating cold water is about 3, 000L per hour for TDC and about 4, 500L per hour for ODC, respectively.<br>(5) During the summer experiment, using cold water made by absorption chiller to cool greenhouses (assume temperature in greenhouse is 14°C during the night), average ratio of alternate cooling load is 86.1% from that of TDC and is almost 96.9% from that of ODC, respectively.<br>From the results above, it can be considered that the cultivation system using local energy at all the year round proposed by this study can contribute to decrease oil expenditure and cultivation cost. And moreover, the system can be considered as a useful cultivation system in the snowy and cold areas because the creation of a new cultivation environment can be expected.

    DOI: 10.11449/sasj1971.38.167

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  • Development of Decision Support Systems for Environmental Conservation Farming-Relationship between greenhouse gas emissions and agricultural gross income for rice paddy farming and greenhouse cropping-- Relationship between greenhouse gas emissions and agricultural gross income for rice paddy farming and greenhouse cropping -

    Saito Sadafumi, Nakano Kazuhiro, Ohashi Shintaroh

    Agricultural Information Research   15 ( 4 )   395 - 404   2006

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    Language:Japanese   Publisher:Japanese Society of Agricultural Informatics  

    The purpose of this study was to develop decision support systems for environmental conservation farming which can evaluate and justify optimal cropping combinations and cropping areas. To be useful, these tools need to sustain high levels of agricultural gross income and be able to calculate the volume of greenhouse gas emissions. Decision support systems developed by the authors of this paper have been enhanced with the functions that calculate the volume of greenhouse gas emissions according to “The guidelines for calculation of greenhouse gas emissions from industry”, create greenhouse cropping plans and that can calculate heating expenses. Experimental farming models for Niigata prefecture with multiple management approaches for rice paddy farming and greenhouse cropping were used. Farming plans and the associated volume of greenhouse gas emissions were evaluated. Heating expenses were forecast for various cropping combinations. The variation in working hour availability was captured by allowing a selection between having the cropping season early, in the middle or late in the month. The increase ratio of the agricultural gross income comparing to the standard cropping plan was expected to be up by 10% (1.78 million yen). Suppressing the volume of greenhouse gas emissions by 10% or 20% reduced agricultural gross income by 0.1% (128,000 yen) and 0.5% (781,000 yen) respectively in comparison with a standard cropping plan. It was shown that garland chrysanthemum (winter harvesting) was the most environmentally friendly crop and the profit margin of greenhouse gas emissions in this cropping type was the highest among the various cropping combinations.

    DOI: 10.3173/air.15.395

    DOI: 10.3173/air.17.50_references_DOI_GrcqWWoTzWJZsR2zgh5Zjrmgh2V

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  • Studies on Effective Utilization of the Exhaust Heat in Kiln to Greenhouse (Part 1)-The calculation of the reusable heat in carbonization-

    OHASHI Shintaroh, NAKANO Kazuhiro, SATOU Sadao, NAKAYA Tadao

    Nogyo Shisetsu (Journal of the Society of Agricultural Structures, Japan)   37 ( 2 )   61 - 69   2006

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    Heat balance of the charcoal kilns was calculated based on the measurement of temperature variations within the kilns. Temperature in kilns of two kinds of carbonization methods, (one is ODC, One Day Carbonization; the other is TDC, Two Days Carbonization), was measured, and the reusable heat of those methods were compared. The results are as follows:<br>(1) In TDC, the carbonization cycle is 72 hours, the carbon yield is 15% of raw wood and the maximum temperature of carbonization is 950°C; and in ODC, those values are 43 hours, 10% and 940°C, respectively.<br>(2) The heating rate in the pyrolysis stage of ODC is 0.47°C·min<sup>-1</sup> faster than that of TDC. It plays an important role on the charcoal harvest of ODC lower than that of TDC.<br>(3) According to the results of heat balance analyses in the kilns, the amount of exhaust heat out of TDC is 54.9% of total heat. on the other hand, that of ODC is 49.9%.<br>(4) The reusable heat per unit time of ODC is 70% higher than that of TDC. From that, the heat supply of ODC is more stable than that of TDC for heating greenhouse in snowy cold area.<br>(5) The reusable heat per input wood from TDC is more effective than that from ODC based on the heat balance analyses.<br>From these results, it is available to reuse the heat exhausted out of the charcoal kiln

    DOI: 10.11449/sasj1971.37.61

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  • Analysis of Greenhouse Heat-releasing Mechanisms in Snowy and Cold Areas

    OHASHI Shintaroh, NAKANO Kazuhiro

    Nogyo Shisetsu (Journal of the Society of Agricultural Structures, Japan)   36 ( 1 )   37 - 45   2005

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    In researching the heat-releasing mechanisms of greenhouses in snowy and cold areas, the heat characteristics, such as the heat loss coefficient, over-all heat transfer coefficient and ventilation heat transfer coefficient, can be very effective factors. However, they are subject to the changes of covering methods, heating methods and operating conditions and so on. These characteristics must be minutely calculated in pursuit of enhancing energy-saving capacities or reducing the heating cost. In this paper, the heat characteristics of the greenhouse are calculated based on the results obtained from the measured values of meteorological parameters, inner and outer wall temperatures and so on. The present state and the feature of the temperature management of the greenhouse in snowy and cold areas were discussed using above heat characteristics. As a result, the following has become clear:<br>(1) The proportion of the over-all heat transfer, ventilation heat transfer, and soil heat transfer to total heating load was 46%, 46%, and 8%, respectively.<br>(2) The heat loss coefficient of the greenhouse was 8.18kJ·h<sup>-1</sup>·m<sup>-2</sup>·K<sup>-1</sup>, over-all heat transfer coefficient was 8.05kJ·h<sup>-1</sup>·m<sup>-2</sup>·K<sup>-1</sup> and ventilation heat transfer coefficient was 0.13kJ·h<sup>-1</sup>·m<sup>-2</sup>·K<sup>-1</sup>.<br>(3) It was proved that the greenhouse used in this study was an airtight one.<br>(4) In nighttime, the actual amount of heat supply in greenhouse was almost the same as the value calculated from the heating load using degree-hour method. However, the value of the amount of heat supply in daytime was up to 3.6 times as much as the calculated value.<br>(5) The features of the temperature management or issues of enhancing energy-saving cultivation were pointed out by analyzing the data measured in the greenhouse in snowy and cold areas.

    DOI: 10.11449/sasj1971.36.37

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Books

  • 新スマート農業 : 進化する農業情報利用

    農業情報学会

    農林統計出版  2019.5  ( ISBN:9784897324074

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    Total pages:xxiv, 500p   Language:Japanese

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  • スマート農業 : 農業・農村のイノベーションとサスティナビリティ

    農業情報学会

    農林統計出版  2014.8  ( ISBN:9784897322995

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    Total pages:xiii, 399p   Language:Japanese

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Industrial property rights

  • 有精卵の検査方法及び検査装置

    中野 和弘, 大橋 慎太郎, 木村 孝平, 滝沢 憲一

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    Applicant:国立大学法人 新潟大学

    Application no:特願2014-190515  Date applied:2014.9

    Announcement no:特開2016-061700  Date announced:2016.4

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Research Projects

  • Development of non-destructive measuring device of potassium concentration for nephritic patient to eat fresh vegetable with confidence

    Grant number:19K06312

    2019.4 - 2022.3

    System name:Grants-in-Aid for Scientific Research

    Research category:Grant-in-Aid for Scientific Research (C)

    Awarding organization:Japan Society for the Promotion of Science

    Nakano Kazuhiro

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    Grant amount:\4290000 ( Direct Cost: \3300000 、 Indirect Cost:\990000 )

    Potassium is a crucial indicator for patients with chronic kidney disease (CKD) to pay attention in daily intake. In this study, the Visible/near-infrared) spectroscopy and Hyperspectral imagfng (HSI) technology to develop non-destructive measurement systems for high accuracy detection and prediction of potassium concentration in fresh lettuce.
    As the results, exceUent prediction of green leaves was obtained by interactance measurement with R2=O.93, while the transmission spectra of petioles provided optimal prediction with R2=O.92. The feasibility of Vis/NIR spectroscopy combined with the nonlinear RBF neural network showed two single-variety leaves were measured by green leaves and petioles. Fresh lettuce samples showed R2 of 0.86 and 0.88 for green leaves and petioles, respectively. The distribution map of potassium concentration by using hyperspectral imaging in fresh lettuce was successfully produced through the difference of colors.

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  • Development of full-year culturing systems for oil-producing microalgae in low solar radiation and cold region

    Grant number:24658209

    2012.4 - 2015.3

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Exploratory Research

    Research category:Grant-in-Aid for Challenging Exploratory Research

    Awarding organization:Japan Society for the Promotion of Science

    Nakano Kazuhiro, KIMURA Kohei, HOSOKAWA Kaoru

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    Grant amount:\3900000 ( Direct Cost: \3000000 、 Indirect Cost:\900000 )

    A full-year culturing systems for oil-producing microalgae in low solar radiation and cold region was studied.
    By using NIR (Near Infra-red) spectroscopy, population and dry weight of Euglena gracilis cultured in the pure culture can be evaluated rapidly and non-destructively. It was showed experimentally that the volume of head space in the incubator may affect the population of Euglena during cultivating.

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  • Development of a non-destructive detector of unsuitable chicken eggs in influenza vaccine production

    Grant number:23380148

    2011.4 - 2014.3

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

    Research category:Grant-in-Aid for Scientific Research (B)

    Awarding organization:Japan Society for the Promotion of Science

    NAKANO Kazuhiro, OHASHI Shintaro, NAKANO Takayuki, TAKIZAWA Ken-ichi, KIMURA Kohei

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    Grant amount:\19240000 ( Direct Cost: \14800000 、 Indirect Cost:\4440000 )

    In Japan, fertilized chicken eggs are used to produce influenza vaccines. However, some eggs do not develop and then contaminate the vaccine stock solution, which causes large economic losses and raises health concerns. Therefore, a non-destructive test that allows distinction of normal and unsuitable chicken eggs was developed, using visible and near-infrared (VNIR) spectroscopy and a light-emitting diode (LED) light source.
    Linear discriminant analysis was applied using wavelength absorbance data to distinguish between normal and unsuitable eggs, and all of the optical absorbance values of the normal eggs were found to be higher than those of unsuitable eggs. The rate of discrimination between the two types of eggs exceeded 97% when linear discriminant analysis and two wavelengths in the visible light range were used.

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  • Field test and promotion of biomass EF gas turbine in Asian rural area

    Grant number:23404004

    2011.4 - 2014.3

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

    Research category:Grant-in-Aid for Scientific Research (B)

    Awarding organization:Japan Society for the Promotion of Science

    MATSUBARA Koji, SAKURAI Atsushi, KOURAKATA Itaru, OHASHI Shintaro

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    Grant amount:\14170000 ( Direct Cost: \10900000 、 Indirect Cost:\3270000 )

    Aiming to promote the biomass gas turbine generators in Asian rural area, this study made field research and examined the usefulness of the generator system.
    During the period of the research work, academic travel was made to visit PSG college (Coimbatore), Indian Institute of Technology, IIT (Delhi) and The Energy Resources Institute, TERI (Delhi and Gurgaon). The academic information was obtained on the biomass gasification system and liquefaction system in these institutes. Research and development of the small-scale energy system was thus noticeable in India. In 2013, the biomass gas turbine system was exported to TERI Gurgaon campus to be examined by collaboration with TERI researchers. It was confirmed that such gas turbine systems fitted to be prevailed in Indian rural area.

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  • Development of intelligent labor saving and automatic watering systems for multi-greenhouse on different developing stage

    Grant number:19380142

    2007 - 2009

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

    Research category:Grant-in-Aid for Scientific Research (B)

    Awarding organization:Japan Society for the Promotion of Science

    NAKANO Kazuhiro, SASAKI Yutaka, OHASHI Shintaro, HASEGAWA Hideo

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    Grant amount:\18200000 ( Direct Cost: \14000000 、 Indirect Cost:\4200000 )

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Teaching Experience

  • リーダーシップ演習Iα

    2023
    Institution name:新潟大学

  • 地域共創演習Ib

    2023
    Institution name:新潟大学

  • 自然科学総論V

    2023
    Institution name:新潟大学

  • 地域共創演習IIIb

    2022
    Institution name:新潟大学

  • 地域共創演習IIIa

    2022
    Institution name:新潟大学

  • 地域共創演習I

    2022
    Institution name:新潟大学

  • 地域共創演習IIb

    2022
    Institution name:新潟大学

  • 地域共創演習IIa

    2022
    Institution name:新潟大学

  • 地域共創演習IV

    2022
    Institution name:新潟大学

  • スタディ・スキルズAIIb

    2022
    Institution name:新潟大学

  • 流域環境学

    2022
    Institution name:新潟大学

  • スタディ・スキルズAIIc

    2022
    Institution name:新潟大学

  • ダブルホーム活動入門Iα

    2022
    Institution name:新潟大学

  • リーダーシップ演習II3

    2021
    Institution name:新潟大学

  • スタディ・スキルズAIa

    2021
    Institution name:新潟大学

  • リーダーシップ演習II2

    2021
    Institution name:新潟大学

  • ダブルホーム活動入門I

    2021
    Institution name:新潟大学

  • リーダーシップ演習I

    2021
    Institution name:新潟大学

  • リーダーシップ演習III2

    2021
    Institution name:新潟大学

  • リーダーシップ演習II1

    2021
    Institution name:新潟大学

  • スタディ・スキルズAIIa

    2021
    Institution name:新潟大学

  • リーダーシップ演習III1

    2021
    Institution name:新潟大学

  • ダブルホーム活動入門II

    2021
    Institution name:新潟大学

  • リーダーシップ演習II4

    2021
    Institution name:新潟大学

  • スタディ・スキルズAIc

    2021
    -
    2022
    Institution name:新潟大学

  • スタディ・スキルズAIb

    2021
    -
    2022
    Institution name:新潟大学

  • 学科インターンシップ

    2021
    Institution name:新潟大学

  • 卒業論文Ⅱ

    2020
    Institution name:新潟大学

  • 農業環境システム論

    2020
    Institution name:新潟大学

  • 卒業論文Ⅰ

    2020
    Institution name:新潟大学

  • 生物生産工学演習

    2020
    Institution name:新潟大学

  • エンジニアリング・デザイン演習

    2020
    Institution name:新潟大学

  • 生物生産工学実験

    2019
    Institution name:新潟大学

  • 測量学実習(農)

    2019
    Institution name:新潟大学

  • 学科インターンシップ

    2019
    -
    2021
    Institution name:新潟大学

  • フィールド科学インターンシップ

    2019
    -
    2021
    Institution name:新潟大学

  • 農学入門Ⅱ

    2018
    Institution name:新潟大学

  • 農業資源を知る

    2018
    Institution name:新潟大学

  • 食料環境工学

    2018
    Institution name:新潟大学

  • 農学入門Ⅰ

    2018
    Institution name:新潟大学

  • 農環境デザイン入門

    2018
    -
    2020
    Institution name:新潟大学

  • バイオマスと農林水産業

    2017
    Institution name:新潟大学

  • 農業工学インターンシップ

    2016
    Institution name:新潟大学

  • 測量学実習

    2015
    -
    2020
    Institution name:新潟大学

  • 農業工学演習

    2010
    -
    2018
    Institution name:新潟大学

  • 農業工学実験

    2010
    -
    2018
    Institution name:新潟大学

  • 地域環境工学演習

    2010
    Institution name:新潟大学

  • 地域環境工学実験

    2010
    Institution name:新潟大学

  • 生産機械利用学特論

    2009
    Institution name:新潟大学

  • バイオマスエネルギー論

    2009
    Institution name:新潟大学

  • 情報処理演習

    2009
    -
    2016
    Institution name:新潟大学

  • 生産環境科学概論Ⅰ

    2009
    -
    2016
    Institution name:新潟大学

  • 応用情報処理演習

    2009
    -
    2015
    Institution name:新潟大学

  • 応用情報処理演習Ⅱ

    2009
    -
    2010
    Institution name:新潟大学

  • 農業システム工学演習

    2009
    -
    2010
    Institution name:新潟大学

  • 農業機械実習

    2009
    -
    2010
    Institution name:新潟大学

  • 応用情報処理演習Ⅰ

    2009
    -
    2010
    Institution name:新潟大学

  • 農業機械設計・製図(Ⅰ)

    2009
    -
    2010
    Institution name:新潟大学

  • 農業機械設計・製図(Ⅱ)

    2009
    Institution name:新潟大学

  • 外国文献抄読

    2009
    Institution name:新潟大学

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