Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1156749
Title: Computer vision applied to agriculture.
Authors: SANTOS, T. T.
BARBEDO, J. G. A.
TERNES, S.
CAMARGO NETO, J.
KOENIGKAN, L. V.
SOUZA, K. X. S. de
Affiliation: THIAGO TEIXEIRA SANTOS, CNPTIA; JAYME GARCIA ARNAL BARBEDO, CNPTIA; SONIA TERNES, CNPTIA; JOAO CAMARGO NETO, CNPTIA; LUCIANO VIEIRA KOENIGKAN, CNPTIA; KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA.
Date Issued: 2023
Citation: In: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; OLIVEIRA, S. R. de M.; MEIRA, C. A. A.; LUCHIARI JUNIOR, A.; BOLFE, E. L. (ed.). Digital agriculture: research, development and innovation in production chains. Brasília, DF: Embrapa, 2023. cap. 6, p. 109-123.
Description: Introduction. Perception: pattern recognition in images: Identification of plant diseases; Detection of animals in pastures; Detection and counting of fruits. Three-dimensional mapping and reconstruction. Combination of structure and recognition. Performance and intervention: field robotics. Final considerations.
Thesagro: Agricultura
NAL Thesaurus: Agriculture
Artificial intelligence
Digital images
Computer vision
Keywords: Inteligência artificial
Visão computacional
Imagem digital
ISBN: 978-65-89957-72-0
Type of Material: Parte de livro
Access: openAccess
Appears in Collections:Capítulo em livro científico (CNPTIA)

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