Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression

Above-ground biomass (AGB) is an important indicator for monitoring crop growth and plays a vital role in guiding agricultural management, so it must be determined rapidly and nondestructively. The present study investigated the extraction from UAV hyperspectral images of multiple variables, includi...

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主要な著者:	Yang Liu, Haikuan Feng, Jibo Yue, Yiguang Fan, Xiuliang Jin, Yu Zhao, Xiaoyu Song, Huiling Long, Guijun Yang
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-10-01
シリーズ:	Remote Sensing
主題:	potato canopy original spectra first-derivative spectra vegetation indices plant height support vector machine
オンライン･アクセス:	https://www.mdpi.com/2072-4292/14/21/5449
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