Deep learning for soybean monitoring and management.

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dc.contributorJAYME GARCIA ARNAL BARBEDO, CNPTIA.
dc.creatorBARBEDO, J. G. A.
dc.date2024-01-24T14:33:49Z
dc.date2024-01-24T14:33:49Z
dc.date2024-01-24
dc.date2023
dc.date.accessioned2026-07-07T04:17:40Z
dc.descriptionThis 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.
dc.identifierSeeds, v. 2, n. 3, p. 340–356, Sept. 2023.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1161254
dc.identifierhttps://doi.org/10.3390/ seeds2030026
dc.identifier.urihttp://hdl.handle.net/123456789/456747
dc.languageeng
dc.rightsopenAccess
dc.subjectAprendizado profundo
dc.subjectImagem digital
dc.subjectInteligência artificial
dc.subjectCulturas de soja
dc.subjectDeep learning
dc.subjectGlycine Max
dc.subjectDigital images
dc.subjectCrops
dc.subjectArtificial intelligence
dc.titleDeep learning for soybean monitoring and management.
dc.typeArtigo de periódico

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Embrapa Agricultura Digital (CNPTIA)