Automatic Wheat Lodging Detection and Mapping in Aerial Imagery to Support High-Throughput Phenotyping and In-Season Crop Management
Latest advances in unmanned aerial vehicle (UAV) technology and convolutional neural networks (CNNs) allow us to detect crop lodging in a more precise and accurate way. However, the performance and generalization of a model capable of detecting lodging when the plants may show different spectral and...
Main Authors: | Biquan Zhao, Jiating Li, P. Stephen Baenziger, Vikas Belamkar, Yufeng Ge, Jian Zhang, Yeyin Shi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
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Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/10/11/1762 |
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