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Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
14/02/2022 |
Data da última atualização: |
24/02/2022 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
VASQUES, G. de M.; RODRIGUES, H. M.; OLIVEIRA, R. P. de; HERNANI, L. C.; TAVARES, S. R. de L. |
Afiliação: |
GUSTAVO DE MATTOS VASQUES, CNPS; HUGO MACHADO RODRIGUES, UFRRJ; RONALDO PEREIRA DE OLIVEIRA, CNPS; LUIS CARLOS HERNANI, CNPS; SILVIO ROBERTO DE LUCENA TAVARES, CNPS. |
Título: |
Management zones from proximal soil sensors capture within-field soil property and terrain variations. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online. |
Idioma: |
Inglês |
Conteúdo: |
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. |
Palavras-Chave: |
Gamma radiometrics. |
Thesaurus Nal: |
Electrical conductivity; Geophysics; Geostatistics; Precision agriculture. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/231294/1/Management-zones-from-proximal-soil-sensors-capture-2022.pdf
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Marc: |
LEADER 01764nam a2200217 a 4500 001 2140033 005 2022-02-24 008 2022 bl uuuu u00u1 u #d 100 1 $aVASQUES, G. de M. 245 $aManagement zones from proximal soil sensors capture within-field soil property and terrain variations.$h[electronic resource] 260 $aIn: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.$c2022 520 $aThe 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. 650 $aElectrical conductivity 650 $aGeophysics 650 $aGeostatistics 650 $aPrecision agriculture 653 $aGamma radiometrics 700 1 $aRODRIGUES, H. M. 700 1 $aOLIVEIRA, R. P. de 700 1 $aHERNANI, L. C. 700 1 $aTAVARES, S. R. de L.
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