Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data

Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data

Sugarcane is a multifunctional crop mainly used for sugar and renewable bioenergy production. Accurate and timely estimation of the sugarcane yield before harvest plays a particularly important role in the management of agroecosystems. The rapid development of remote sensing technologies, especially...

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Bibliographic Details
Main Authors: Jing-Xian Xu, Jun Ma, Ya-Nan Tang, Wei-Xiong Wu, Jin-Hua Shao, Wan-Ben Wu, Shu-Yun Wei, Yi-Fei Liu, Yuan-Chen Wang, Hai-Qiang Guo
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
sugarcane
aboveground fresh weight
random forest regression
UAV-LiDAR
agricultural management
Online Access:https://www.mdpi.com/2072-4292/12/17/2823

Internet

https://www.mdpi.com/2072-4292/12/17/2823

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