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)

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