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論文
タイトル
タイトル(英)
Estimation of rice protein content before harvest using ground-based hyperspectral imaging and region of interest analysis
参照URL
https://researchmap.jp/7000020455/published_papers/40343612
著者
著者(英)
Hiroyuki Onoyama,Chanseok Ryu,Masahiko Suguri,Michihisa Iida
担当区分
筆頭著者
概要
概要(英)
Protein content, which represents rice taste quality, must be estimated in order to create a harvesting plan as well as next year's basal dressing fertilizer application plan. Ground-based hyperspectral imaging with high resolution (1 x 1 mm per pixel) was used for estimating the protein content of brown rice before harvest. This paper compares the estimation accuracy of rice protein content estimation models generated from the mean reflectances of five regions of interest (ROIs): the overall target area, dark area (less illuminated parts of the rice plants), canopy area (leaves, yellow leaves, and ears), leaf area, and ear and yellow leaf area. The size of the target sampling area was 0.85 x 0.85 m. An R + G + B histogram and a GNDVI-NDVI image were used to separate the target area into the individual ROIs. The values of the coefficient of determination R (2) and the root mean square error of prediction (RMSE) were similar for each model: R (2) ranged from 0.83 to 0.86 and RMSE ranged from 0.27 to 0.30% for all models except for the dark area model, where R (2) = 0.76 and RMSE = 0.35%. There were no significant differences in the magnitude of the estimation error among all models. This result indicates that it is not necessary to obtain an image with a ground resolution that is greater than 0.85 x 0.85 m per pixel to estimate rice protein content before harvest. This result should provide useful information when deciding the altitude of platforms for imaging rice fields.
出版者・発行元
出版者・発行元(英)
SPRINGER
誌名
誌名(英)
PRECISION AGRICULTURE
19
4
開始ページ
721
終了ページ
734
出版年月
2018年8月
査読の有無
査読有り
招待の有無
掲載種別
研究論文(学術雑誌)
ISSN
1385-2256
DOI URL
https://doi.org/10.1007/s11119-017-9552-3
共同研究・競争的資金等の研究課題
研究者
小野山 博之 (オノヤマ ヒロユキ)