Identification of gaps in sugarcane plantations using UAV images.

Identification of gaps in sugarcane plantations using UAV images.

The objective of this study is to present a methodology for the detection and quantification of gaps formed during planting or growing of sugarcane crops. The use of UAV images for precision agriculture is relevant because it brings new possibilities for improving crop's productivity by feeding the producer with highly accurate data about the crop status.

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Bibliographic Details
Main Authors: MONTIBELLER, M., SILVEIRA, H. L. F. da, SANCHES, I. D. A., KÖRTING, T. S., FONSECA, L. M. G., ARAGÃO, L. E. O. e C. de, PICOLI, M. C. A., DUFT, D. G.
Other Authors: BRUNO MONTIBELLER, INPE; HILTON LUIS FERRAZ DA SILVEIRA, CNPS; IEDA DEL'ARCO SANCHES, INPE; THALES SEHN KÖRTING, INPE; LEILA MARIA GARCIA FONSECA, INPE; LUIZ EDUARDO OLIVEIRA E CRUZ DE ARAGÃO, INPE; MICHELLE CRISTINA ARAUJO PICOLI, UNICAMP; DANIEL GARBELLINI DUFT, CTBE.
Format: Anais e Proceedings de eventos biblioteca
Language:English
eng
Published: 2017-08-29
Subjects:Processamento de imagens, Reconhecimento de padrões., Agricultura de Precisão, Sensoriamento Remoto.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1074574
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Summary:The objective of this study is to present a methodology for the detection and quantification of gaps formed during planting or growing of sugarcane crops. The use of UAV images for precision agriculture is relevant because it brings new possibilities for improving crop's productivity by feeding the producer with highly accurate data about the crop status.

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