Deep learning-based accurate detection of insects and damage in cruciferous crops using YOLOv5
Insects are an integral part of an agroecosystem. Some of them are pestiferous, while some are beneficial like- natural enemies and pollinators. Therefore, it is very important to identify and manage them timely. With the rapid development of convolutional neural networks, automatic detection techni...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2024-12-01
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| coleção: | Smart Agricultural Technology |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2772375524002685 |
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