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...
| Hlavní autoři: | , , , , , , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
MDPI AG
2020-11-01
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| Edice: | Agronomy |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/2073-4395/10/11/1762 |