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Author(s): BRANDÃO, Z. N.; GREGO, C. R.; GONDIM, T. M. de S.; RODRIGUES, H. M.

Satellite images are valuable tools to assess the nutritional status of plants and, thus, understand the variability of cotton yield in farmers' fields. By identifying soil variability and nutritional... ...

Repository: BDPA     Publication year: 2024

Author(s): SPERANZA, E. A.; QUEIROS, L. R.; RABELLO, L. M.; GREGO, C. R.; BRANDÃO, Z. N.

Resumo: Este trabalho descreve a implantação de uma ferramenta para armazenamento em uma base de dados espacial de informações georreferenciadas de condutividade elétrica do solo obtidas em campo. A p... ...

Repository: BDPA     Publication year: 2011

Author(s): LUZ, L. B.; VASQUES, G. M.; ARAÚJO, T. M.; BENTO, G. C.; MELO, J. R. C.; BHERING, S. B.

Laboratory methods for soil analysis need to cope with the increasing demand for expedited and widespread georeferenced soil data to support decisions in digital agriculture, digital soil mapping and... ...

Repository: BDPA     Publication year: 2023

Author(s): DOMPIERI, M. H. G.; COUTINHO, P. A. Q.; SILVA, M. A. S. da

This study aimed to manipulate databases from the Landsat-8 project to select orbital scenes with minimal cloud coverage aligned with the growth periods of cotton, corn, and soybean crops in the Cerra... ...

Repository: BDPA     Publication year: 2024

Author(s): MACARIO, C. G. N.; SANTOS, J. A. dos; MEDEIROS, C. B.; TORRES, R. da S.

Georeferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a ti... ...

Repository: BDPA     Publication year: 2010

Author(s): SILVA, C. C. da; OLIVEIRA, S. R. de M.; ADAMI, S. F.; CRIVELENTI, R. C.; COELHO, R. M.

ABSTRACT: The study had as objective to develop techniques for digital soil mapping with support of main parameters of relief descriptors, of geologic map and pedological map pre-existing of Dois Córr... ...

Repository: BDPA     Publication year: 2011

Author(s): TAVARES, R. L. M.; OLIVEIRA, S. R. de M.; BARROS, F. M. M. de; FARHATE, C. V. V.; SOUZA, Z. M. de; LA SCALA JUNIOR, N.

ABSTRACT: The Random Forest algorithm is a data mining technique used for classifying attributes in order of importance to explain the variation in an attribute-target, as soil CO2 flux. This study ai... ...

Repository: BDPA     Publication year: 2018

Author(s): VILELA, F. DE A.; TIMES, V. C.; BERNARDI, A. C. de C.; FREITAS, A. DE P.; CIFERRI, R. R.

Nowadays, organizations are very interested to gather data for strategic decision-making. Data are disposable in operational sources, which are distributed, heterogeneous, and autonomous. These data a... ...

Repository: BDPA     Publication year: 2023

Author(s): MEZA, L. A.; GOMES, E. G.; MELLO, J. C. C. B. S. de; BIONDI NETO, L.

Repository: BDPA     Publication year: 2009

Author(s): BIONDI NETO, L.; MELLO, J. C. C. B. S. de; MEZA, L. A.; GOMES, E. G.

Interval DEA frontiers are here used in situation where one input or output is subject to uncertainty in its measurement and is presented as an interval data. We built an efficient frontier without an... ...

Repository: BDPA     Publication year: 2009

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