Title:	Strategies for monitoring within-feld soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods.
Authors:	CRUSIOL, L. G. T. SUN, L. SIBALDELLI, R. N. R. FELIPE JUNIOR, V. FURLANETI, W. X. CHEN, R. SUN, Z. WUYUN, D. CHEN, Z. NANNI, M. R. FURLANETTO, R. H. CEZAR, E. NEPOMUCENO, A. L. FARIAS, J. R. B.
Affiliation:	L. G.T. CRUSIOL; LIANG SUN, MINISTRY OF AGRICULTURE; RUBSON NATAL RIBEIRO SIBALDELLI, CNPSO; V. FELIPE JUNIOR, INTEGRADA COOPERATIVA AGROINDUSTRIAL; W. X. FURLANETI, INTEGRADA COOPERATIVA AGROINDUSTRIAL; R. CHEN, MINISTRY OF AGRICULTURE; Z. SUN, MINISTRY OF AGRICULTURE; D. WUYUN, MINISTRY OF AGRICULTURE; Z. CHEN, FOOD AND AGRICULTURAL ORGANIZATION OF THE UNITED NATIONS; M. R. NANNI, STATE UNIVERSITY OF MARINGÁ; R. H. FURLANETTO, STATE UNIVERSITY OF MARINGÁ; E. CEZAR, STATE UNIVERSITY OF MARINGÁ; ALEXANDRE LIMA NEPOMUCENO, CNPSO; JOSE RENATO BOUCAS FARIAS, CNPSO.
Date Issued:	2022
Citation:	Precision Agriculture, v. 23, p. 1093-1123, 2022.
Thesagro:	Soja Maquina Raio Infravermelho
NAL Thesaurus:	Soybeans Yield mapping Yield monitoring Multispectral imagery Spectral analysis
DOI:	10.1007/s11119-022-09876-5
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPSO)