Recognition of cotton growth period for precise spraying based on convolution neural network
Dynamic acquisition of crop morphology is beneficial to real-time variable decision of precise spraying operations in fields. However, the existing spraying quantity regulation has high tolerance on the statistical characteristics of regional morphology, so expensive LiDAR and ultrasonic radar can...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2021-06-01
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Series: | Information Processing in Agriculture |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214317319303397 |