Transferability of Models for Predicting Rice Grain Yield from Unmanned Aerial Vehicle (UAV) Multispectral Imagery across Years, Cultivars and Sensors

Transferability of Models for Predicting Rice Grain Yield from Unmanned Aerial Vehicle (UAV) Multispectral Imagery across Years, Cultivars and Sensors

Timely and accurate prediction of crop yield prior to harvest is vital for precise agricultural management. Unmanned aerial vehicles (UAVs) provide a fast and convenient approach to crop yield prediction, but most existing crop yield models have rarely been tested across different years, cultivars a...

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Bibliographic Details
Main Authors: Hengbiao Zheng, Wenhan Ji, Wenhui Wang, Jingshan Lu, Dong Li, Caili Guo, Xia Yao, Yongchao Tian, Weixing Cao, Yan Zhu, Tao Cheng
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Drones
Subjects:
grain yield
UAV imagery
texture
spectral
model transferability
Online Access:https://www.mdpi.com/2504-446X/6/12/423

Internet

https://www.mdpi.com/2504-446X/6/12/423

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