01610nam a2200313 a 450000100080000000500110000800800410001910000190006024500850007926001510016430000120031552006440032765000100097165000260098165000330100765000220104065000120106265000230107465000250109765000150112270000220113770000200115970000170117970000170119670000210121370000220123470000200125670000200127621637902024-04-23       2024    bl uuuu     u00u1 u    #d1 aRIBEIRO, W. R.  aBuilding a hyperspectral library of common bean diseases.h[electronic resource]  aIn: INTERNATIONAL EPIDEMIOLOGY WORKSHOP, 13., 2024, Foz do Iguaçu. Book of abstracts. Foz do Iguaçu: Sociedade Brasileira de Fitopatologiac2024  ap. 102.  aSensors attached to unmanned aerial vehicles can detect diseased plants before they become symptomatic, according to differences in their reflectance. Despite the advances in hardware and methods for detecting infections with remote sensing, using these tools to scout common bean diseases is still incipient. The objectives of this study were: 1) to evaluate the effectiveness of a hyperspectral sensor in the diagnosis of common bean diseases; 2) verify differences in the spectral signatures in different genotypes with healthy or infected plants; and 3) to investigate if mulch used in no-tillage can influence the spectral signatures.  aBeans  aHyperspectral imagery  aPlant diseases and disorders  aDoença de Planta  aFeijão  aPhaseolus Vulgaris  aSensoriamento Remoto  aTecnologia1 aALMEIDA, A. de S.1 aFERREIRA, A. L.1 aSILVA, R. M.1 aALVES, T. M.1 aGERALDINE, A. M.1 aSILVA, J. F. A. e1 aPINHEIRO, P. V.1 aLOBO JUNIOR, M.