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...
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Main Authors: | , , , , , , , |
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Format: | Default Article |
Published: |
2019
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/9632120.v1 |
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