研究者総覧

研究業績に対する検索条件
※ スペース区切りで絞り込み検索が可能です。
研究業績タイプによる絞り込み条件です。絞り込みは行っていません。
論文
タイトル
タイトル(英)
Integrate Growing Temperature to Estimate the Nitrogen Content of Rice Plants at the Heading Stage Using Hyperspectral Imagery
参照URL
https://researchmap.jp/7000020455/published_papers/40343615
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)
Ground-based hyperspectral imaging was used for estimating the nitrogen content of rice plants at the heading stage. The images were separated into two parts: 1) the rice plant; and 2) other elements using the equation of "GreenNDVI-NDVI." was calculated as the ratio of the reflectance of the rice plant to that of a reference board. Partial least square (PLS) model using reflectance data (R-PLS model) and PLS model using reflectance and temperature data (RT-PLS) was constructed to compare the accuracy between them. RT-PLS model was developed to improve the accuracy of R-PLS model by considering the differences of weather condition among years. When the precision (R-2) and accuracy [root-mean-square error (RMSE) and relative error (RE)] of each R-PLS model were evaluated for each year using twofold cross-validation, R-2 ranged from 0.42 to 0.81, RMSE ranged from 0.81 to 1.13 gm(-2), and RE ranged from 10.1% to 11.8%. When R-PLS model of each year was used to predict the other years' data to determine the predictive power, RMSE values were higher (ranging from 1.40 to 5.82 gm(-2)) than those in each year's validation value due to over- or underestimation. When an R-PLS model based on the data of 2 years was fitted, RMSE ranged from 1.11 to 4.15 gm(-2) and RE ranged from 13.7% to 42.8%. By contrast, in RT-PLS models, RMSE and RE fell to less than 1.21 gm(-2) and 12.3%, respectively. Thus, a combination of reflectance and temperature data was useful for constructing a model of rice plant at the heading stage.
出版者・発行元
出版者・発行元(英)
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
誌名
誌名(英)
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
7
6
開始ページ
2506
終了ページ
2515
出版年月
2014年6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
1939-1404
DOI URL
https://doi.org/10.1109/JSTARS.2014.2329474
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)