Details of a Researcher

Taira Eizo

写真a

Title	Professor
Researcher Number(JSPS Kakenhi)	20433097

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Current Affiliation Organization 【 display / non-display 】

Duty University of the Ryukyus Faculty of Agriculture Regional Agricultural Engineering Professor
Concurrently University of the Ryukyus Graduate School of Agriculture Professor

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Academic degree 【 display / non-display 】

Kagoshima University - Doctor of Agriculture
University of the Ryukyus - Master of Agriculture

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External Career 【 display / non-display 】

2006.04

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2015.03

University of the Ryukyus, Faculty of Agriculture, Department of Regional Agricultural Engineering, Biosystem Engineering, Research Associate
2010.08

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2010.12
2013.03

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2013.12
2015.04

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2018.11

University of the Ryukyus, Faculty of Agriculture, Department of Regional Agricultural Engineering, Biosystem Engineering, Associate professor
2018.12

　

　

University of the Ryukyus, Faculty of Agriculture, Department of Regional Agricultural Engineering, Biosystem Engineering, Professor

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Affiliated academic organizations 【 display / non-display 】

2003.04

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Now

Japanese Society of Agricutural Machinery
2015.04

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Now

Japan Council for Near Infrared Spectroscopy

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Research Interests 【 display / non-display 】

近赤外分光法
バイオエネルギー
スマート農業
熱帯果樹
サトウキビ

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Research Areas 【 display / non-display 】

Environmental Science/Agriculture Science / Agricultural environmental engineering and agricultural information engineering

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Published Papers 【 display / non-display 】

Estimating the Composition of Ecofeed and Raw Materials Using Near Infrared Reflectance Spectroscopy.

DOI Ayumu, TAIRA Eizou, IMURA Yoshimi

Nihon Danchi Chikusan Gakkaihou ( Warm Regional Society of Animal Science, Japan ) 67 ( 1 ) 17 - 24 2024 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)

　View Summary

This study aims to establish a method for estimating the composition of raw materials of eco-feed used in Okinawa prefecture, using near-infrared spectroscopy. We have developed and evaluated a calibration model and examined its practical feasibility. Herein, 100 samples were collected for calibration modeling and 20 for calibration model evaluation. Calibration models were constructed for evaluating general composition, gross energy (GE), and enzymatic digestibility of organic matter (EDOM) through multiple linear regression analysis (MLR) and partial least squares method (PLSR). The coefficients of determination (R2v) and standard deviations of the estimation error (SDP) for CP, EE, NFE and GE were 0.92 and 4.75, 0.90 and 3.52, 0.90 and 3.11, 0.86 and 0.27, respectively, through MLR. And R2v and SDP through PLSR were CP (0.96 and 3.15), EE (0.87 and 4.10), NFE (0.95 and 4.24), GE (0.86 and 0.27), respectively. For CP, EE, NFE and GE, the practical accuracy was evaluated very high or high. But for CA, CF and EDOM, there were no practical calibration models obtained through neither MLR nor PLSR.
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 CiNii Research
Non-destructive Laboratory Analysis of the Detection of Unhealthy Sugarcane Stalks Using a Portable Vis-NIR Spectrometer

Kittipon APARATANA, Daitaro ISHIKAWA, Kanvisit MARAPHUM, Khwantri SAENGPRACHATANARUG, Hitoshi AGARIE, Takeshi SHIKANAI, Munehiro TANAKA, Eizo TAIRA

Engineering in Agriculture, Environment and Food ( Asian Agricultural and Biological Engineering Association ) 2022.12 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)
Possibility of Sugarcane Yield Prediction Model Based on Logistic Curves

15 ( 2 ) 101 - 109 2022.12 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)
Predicting sugarcane quality using a portable visible near infrared spectrometer and a benchtop near infrared spectrometer

Kittipon Aparatana Yumika Naomasa Morito Sano Kenta Watanabe Muneshi Mitsuoka Masami Ueno Yoshinobu Kawamitsu Eizo Taira

Journal of Near Infrared Spectroscopy ( SAGE Journals ) 2022.11 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)
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UAV-Based Multispectral Imagery for Estimating Cassava Tuber Yields

Kamonpan RATTANASOPA, Khwantri SAENGPRACHATANARUG, Seree WONGPICHET, Jetsada POSOM, Kanda SAIKAEW, Kittiphit UNGSATHITTAVORN, Sirorat PILAWUT, Adulwit CHINAPAS, Eizo TAIRA

Engineering in Agriculture, Environment and Food 15 ( 1 ) 1 - 12 2022.09 [ Peer Review Accepted ]

Type of publication: Research paper (scientific journal)
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Presentations 【 display / non-display 】

Classification of Sugarcane Variety using Image Processing and Multivariate Analysis

K. Aparatana, H. Takaragawa, Y. Izumikawa, E. Taira

2019 International Joint Conference on JSAM, SASJ, and 13th CIGR VI Technical Symposium joining FWFNWG and FSWG Workshops (Hokkaido, Japan) 2019.09 - 2019.09
High-efficiency calibration system for direct cane analysis using combined NIR system

E. Taira, Y. Ikeda, K. Saengprachatanarug, H. Honda, Y. Izumikawa

XXX International sugar cane congress (Tucuman, Argentina) 2019.09 - 2019.09
Identification and Quantification of Trash in Delivered Sugarcane using Hyperspectral Imaging and Chemometrics Technique

K. Aparatana, K. Saengprachatanarug, Y. Izumikawa, S. Nakamura, E. Taira

XXX International sugar cane congress (Tucuman, Argentina) 2019.09 - 2019.09
Development of a rapid and inexpensive quality-evaluation method for shredded cane using near-infrared spectroscopy

Y. Izumikawa, E. Taira, Y. Ikeda, A. kinjyo, S. Nakamura

XXX International sugar cane congress (Tucuman, Argentina) 2019.09 - 2019.09
Application of Near-infrared spectroscopy for sugar production in Japan

E. Taira

The International Sugar and Sugarcane conference (Chonburi, Thailand) 2019.07 - 2019.08