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...
| Những tác giả chính: | , , , , , , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
MDPI AG
2020-11-01
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| Loạt: | Agronomy |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://www.mdpi.com/2073-4395/10/11/1762 |