Deep learning for soybean monitoring and management.
This review characterizes the current state of the art of deep learning applied to soybean crops, detailing the main advancements achieved so far and, more importantly, providing an in-depth analysis of the main challenges and research gaps that still remain.
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Auteur principal: | BARBEDO, J. G. A. |
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Autres auteurs: | JAYME GARCIA ARNAL BARBEDO, CNPTIA. |
Format: | Artigo de periódico biblioteca |
Langue: | Ingles English |
Publié: |
2024-01-24
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Sujets: | Aprendizado profundo, Imagem digital, Inteligência artificial, Culturas de soja, Deep learning, Glycine Max, Digital images, Crops, Artificial intelligence, |
Accès en ligne: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161254 https://doi.org/10.3390/ seeds2030026 |
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