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 | |
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AP-Deep-learning-soybean-2023.pdf | 2.53 MB | Adobe PDF | ![]() View/Open |