Title:	Management zones from proximal soil sensors capture within-field soil property and terrain variations.
Authors:	VASQUES, G. de M. RODRIGUES, H. M. OLIVEIRA, R. P. de HERNANI, L. C. TAVARES, S. R. de L.
Affiliation:	GUSTAVO DE MATTOS VASQUES, CNPS; HUGO MACHADO RODRIGUES, UFRRJ; RONALDO PEREIRA DE OLIVEIRA, CNPS; LUIS CARLOS HERNANI, CNPS; SILVIO ROBERTO DE LUCENA TAVARES, CNPS.
Date Issued:	2022
Citation:	In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.
Description:	The objectives are to delineate soil management zones from soil proximal sensor data, and compare soil property values among zones in a 72-ha crop field in southeastern Brazil. Apparent electrical conductivity (aEC) and magnetic susceptibility (aMS), and equivalent Th (eTh) and U (eU) were measured across the field by a Geonics EM38-MK2 and a Medusa MS1200 sensors, respectively. These properties were kriged and used as input for delineating three management zones by fuzzy k-means clustering. Soil properties were measured at 0-10 cm at 72 sites, and their means were compared among the zones. Soil clay, organic C and exchangeable Ca and Mg vary significantly among the zones, according to Brown-Forsythe and Games-Howell tests (p=0.05), while pH, available P and exchangeable K do not. Zone delineation from proximal sensor data constitutes an efficient data-driven approach to separate the field into meaningful parts for soil, irrigation and crop management based on soil variation.
NAL Thesaurus:	Geophysics Electrical conductivity Precision agriculture Geostatistics
Keywords:	Gamma radiometrics
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPS)