01185nam a2200241 a 450000100080000000500110000800800410001910000200006024500930008026001370017352003620031065000290067265000250070165300290072665300310075570000260078670000220081270000200083470000220085470000300087670000210090670000160092720745742021-11-11       2017    bl uuuu     u00u1 u    #d1 aMONTIBELLER, M.  aIdentification of gaps in sugarcane plantations using UAV images.h[electronic resource]  aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 1169-1176.c1176  aThe 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.  aAgricultura de Precisão  aSensoriamento Remoto  aProcessamento de imagens  aReconhecimento de padrões1 aSILVEIRA, H. L. F. da1 aSANCHES, I. D. A.1 aKÖRTING, T. S.1 aFONSECA, L. M. G.1 aARAGÃO, L. E. O. e C. de1 aPICOLI, M. C. A.1 aDUFT, D. G.