Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests.

dc.contributorJULIANO P. GONÇALVES, UFV; FRANCISCO A. C. PINTO, UFV; DANIEL M. QUEIROZ, UFV; FLORA M. M. VILLAR, UFV; JAYME GARCIA ARNAL BARBEDO, CNPTIA; EMERSON M. DEL PONTE, UFV.
dc.creatorGONÇALVES, J. P.
dc.creatorPINTO, F. A. C.
dc.creatorQUEIROZ, D. M.
dc.creatorVILLAR, F. M. M.
dc.creatorBARBEDO, J. G. A.
dc.creatorDEL PONTE, E. M.
dc.date.accessioned2021-09-14T13:01:47Z
dc.date.accessioned2022-10-12T04:12:30Z
dc.date.available2021-09-14T13:01:47Z
dc.date.available2022-10-12T04:12:30Z
dc.date.created2021-09-14T13:01:47Z
dc.date.issued2021
dc.identifierBiosystems Engineering, v. 210, p. 129-142, Oct. 2021.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1134326
dc.identifierhttps://doi.org/10.1016/j.biosystemseng.2021.08.011
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4085944
dc.languageen
dc.rightsopenAccess
dc.subjectAprendizado profundo
dc.subjectFitopatometria
dc.subjectInteligência artificial
dc.subjectAprendizado de máquina
dc.subjectRede neural convolucional
dc.subjectSegmentação de imagem
dc.subjectPhytopathometry
dc.subjectMachine learning
dc.subjectConvolutional neural network
dc.subjectImage segmentation
dc.titleDeep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests.
dc.typeArtículos de revistas


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