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Registros recuperados : 33 | |
7. | | BRANDÃO, Z. N.; RODRIGUES, H. M.; MEDEIROS, E. P.; SANA, R. S.; SHIRATSUCHI, L. S. Técnicas de agricultura de precisão e machine learning na estimativa de atributos físicos e químicos do solo. In: SILVA-MATOS, R. R. S. da; DOIHARA, I. P.; LINHARES, S. C. (org.). Medio ambiente: Agricultura, desarrollo y sustentabilidad 2. Ponta Grossa, PR: Atena, 2023. c. 6. p. 55-64. Biblioteca(s): Embrapa Algodão. |
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8. | | RODRIGUES, H. M.; VASQUES, G. M.; LEMES, M. W.; ROSAS, R. O. Avaliação do escoamento superficial e da perda de solo sob diferentes coberturas e declividades em Silva Jardim, RJ. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 16., 2015, Teresina. Territórios brasileiros: dinâmicas, potencialidades e vulnerabilidades: anais. Teresina: UESPI, 2015. p. 2797-2803. Biblioteca(s): Embrapa Solos. |
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11. | | VASQUES, G. de M.; RODRIGUES, H. M.; TAVARES, S. R. de L.; COELHO, M. R. Predicting soil clay content from NIR, gamma-ray and XRF curves. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2019. v. 2, p. 535-536. WCSS 2018. Biblioteca(s): Embrapa Solos. |
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17. | | LEMES, M.; MACHADO, A.; VASQUES, G. de M.; RODRIGUES, H. M.; LOPES, R. T.; ROSAS, R. O. Influence of soil cover on pore distribution in a Ferralsol evaluated by 3D computerized microCT. In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online. Biblioteca(s): Embrapa Solos. |
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Registros recuperados : 33 | |
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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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