Please use this identifier to cite or link to this item:
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161254| Title: | Deep learning for soybean monitoring and management. |
| Authors: | BARBEDO, J. G. A.![]() ![]() |
| Affiliation: | JAYME GARCIA ARNAL BARBEDO, CNPTIA. |
| Date Issued: | 2023 |
| Citation: | Seeds, v. 2, n. 3, p. 340–356, Sept. 2023. |
| Description: | 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. |
| Thesagro: | Glycine Max |
| NAL Thesaurus: | Digital images Crops Artificial intelligence |
| Keywords: | Aprendizado profundo Imagem digital Inteligência artificial Culturas de soja Deep learning |
| DOI: | https://doi.org/10.3390/ seeds2030026 |
| Type of Material: | Artigo de periódico |
| Access: | openAccess |
| Appears in Collections: | Artigo em periódico indexado (CNPTIA)![]() ![]() |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| AP-Deep-learning-soybean-2023.pdf | 2,53 MB | Adobe PDF | ![]() View/Open |








