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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1140033Registro completo de metadados
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | VASQUES, G. de M. | |
| dc.contributor.author | RODRIGUES, H. M. | |
| dc.contributor.author | OLIVEIRA, R. P. de | |
| dc.contributor.author | HERNANI, L. C. | |
| dc.contributor.author | TAVARES, S. R. de L. | |
| dc.date.accessioned | 2022-02-15T02:00:35Z | - |
| dc.date.available | 2022-02-15T02:00:35Z | - |
| dc.date.created | 2022-02-14 | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online. | |
| dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1140033 | - |
| dc.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. | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Gamma radiometrics | |
| dc.title | Management zones from proximal soil sensors capture within-field soil property and terrain variations. | |
| dc.type | Artigo em anais e proceedings | |
| dc.subject.nalthesaurus | Geophysics | |
| dc.subject.nalthesaurus | Electrical conductivity | |
| dc.subject.nalthesaurus | Precision agriculture | |
| dc.subject.nalthesaurus | Geostatistics | |
| riaa.ainfo.id | 1140033 | |
| riaa.ainfo.lastupdate | 2022-02-14 | |
| dc.contributor.institution | GUSTAVO DE MATTOS VASQUES, CNPS; HUGO MACHADO RODRIGUES, UFRRJ; RONALDO PEREIRA DE OLIVEIRA, CNPS; LUIS CARLOS HERNANI, CNPS; SILVIO ROBERTO DE LUCENA TAVARES, CNPS. | |
| Aparece nas coleções: | Artigo em anais de congresso (CNPS)  | |
Arquivos associados a este item:
| Arquivo | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| Management-zones-from-proximal-soil-sensors-capture-2022.pdf | 123.11 kB | Adobe PDF |  Visualizar/Abrir |
