1 0 0 0 窒化物半導体によるダイオード素子の特性評価
- 著者
- 西堀 義美 内藤 裕貴 一瀬 大介 成田 晋也 山田 弘 人羅 俊美 山口 栄一 山田 省二
- 出版者
- 電気関係学会東北支部連合大会実行委員会
- 雑誌
- 電気関係学会東北支部連合大会講演論文集
- 巻号頁・発行日
- vol.2010, pp.241, 2010
1 0 0 0 OA 取締役の経営判断に係る責任の一考察 -ドイツ株式会社法からの示唆-
1 0 0 0 OA イネの形質と UAV リモートセンシングデータから計算されたカラー指標との比較
- 著者
- 下嶋 浩平 小川 諭志 内藤 裕貴 Milton Orlando Valencia 清水 庸 細井、 文樹 宇賀 優作 石谷 学 Michael Gomez Selvaraj 大政 謙次
- 出版者
- 生態工学会
- 雑誌
- Eco-Engineering (ISSN:13470485)
- 巻号頁・発行日
- vol.29, no.1, pp.11-16, 2017-01-31 (Released:2017-02-01)
- 参考文献数
- 15
Remote sensing technology for monitoring plant trains has a huge potential to accelerate breeding process. In this paper, we have studied on remote sensing of using an unmanned aerial vehicle (UAV) system for plant traits phenotyping in rice. The images of rice canopy were taken by a RGB camera from the UAV at three growing stages; Vegetative (VG), Flowering (FW) and Grain filling (GF). Typical color indices (r, g, b, INT, VIG, L*, a*, b*, H) were calculated by image processing. Single regression analysis was conducted between rice plant traits (leaf area index (LAI), grain yield, above ground biomass, plant height, panicle length, grain filling rate, tiller number) and color indices. The index a* at FW and GF had close liner relationships with LAI (the coefficient of determination R2 > 0.70) and grain yield (R2 > 0.50). Moreover, a* and g at FW and GF showed high R2 with plant height and grain filling rate (R2 > 0.50). The R2 between grain yield and color indices increased above 0.5 for about 40% of models at three growing stages by multiple regression analysis. In particular, the models of H and INT and of H and L* at VG were closely related (R2 > 0.70). Our findings show the analysis of color images taken by UAV remote sensing is useful to assessing four rice traits; LAI, grain yield, plant height and grain filling rate at early stage, and especially more available for grain yield estimation.