Machine learning-based crop drought mapping system by UAV remote sensing RGB imagery

Water stress has adverse effects on crop growth and yield, where its monitoring plays a vital role in precision crop management. This paper aims at initially exploiting the potentials of UAV aerial RGB image in crop water stress assessment by developing a simple but effective supervised learning sys...

Full description

Saved in:
Bibliographic Details
Main Authors: Jinya Su, Matthew Coombes, Cunjia Liu, Yongchao Zhu, Xingyang Song, Shibo Fang, Lei Guo, Wen-Hua Chen
Format: Default Article
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/2134/9632120.v1
Tags: Add Tag
No Tags, Be the first to tag this record!