Quantitative Identification of Maize Lodging-Causing Feature Factors Using Unmanned Aerial Vehicle Images and a Nomogram Computation

Quantitative Identification of Maize Lodging-Causing Feature Factors Using Unmanned Aerial Vehicle Images and a Nomogram Computation

Maize (zee mays L.) is one of the most important grain crops in China. Lodging is a natural disaster that can cause significant yield losses and threaten food security. Lodging identification and analysis contributes to evaluate disaster losses and cultivates lodging-resistant maize varieties. In th...

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Bibliographic Details
Main Authors: Liang Han, Guijun Yang, Haikuan Feng, Chengquan Zhou, Hao Yang, Bo Xu, Zhenhai Li, Xiaodong Yang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Remote Sensing
Subjects:
lodging
nomogram
logistic regression
UAV
maize
features
Online Access:http://www.mdpi.com/2072-4292/10/10/1528

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