Title:	Identification of gaps in sugarcane plantations using UAV images.
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.
Affiliation:	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.
Date Issued:	2017
Citation:	In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 1169-1176.
Description:	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.
Thesagro:	Agricultura de Precisão Sensoriamento Remoto
Keywords:	Processamento de imagens Reconhecimento de padrões
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPS)