Computer vision applied to agriculture.

Computer vision applied to agriculture.

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.

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Bibliographic Details
Main Authors: SANTOS, T. T., BARBEDO, J. G. A., TERNES, S., CAMARGO NETO, J., KOENIGKAN, L. V., SOUZA, K. X. S. de
Other Authors: 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.
Format: Parte de livro biblioteca
Language:Ingles
English
Published: 2023-09-19
Subjects:Inteligência artificial, Visão computacional, Imagem digital, Agricultura, Agriculture, Artificial intelligence, Digital images, Computer vision,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1156749
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