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 Authorship: SILVA, G. B. S. da; CONCEIÇÃO, M. P. C.; NOGUEIRA, S. F.; GREGO, C. R.; OLIVEIRA, P. P. A.; PEDROSO, A. de F. The objective of this study was to discriminate different pastures in beef cattle production systems using Normalized Difference Vegetation Index (NDVI) temporal data, from April 2013 to August 2015,... ... |
 Authorship: SANTOS, M. da S.; GEBLER, L.; SEBEM, E. Correlation between proximal sensing techniques and laboratory results of qualitative variables plus agronomic attributes was evaluated of a 3,0 ha vineyard in the county of Muitos Capões, Northeast o... ... |
 Authorship: CASTRO, G. D. M. de; VILELA, E. F.; FARIA, A. L. R. de; SILVA, R. A.; FERREIRA, W. P. M. Coffee Rust (Hemileia vastatrix) is considered the primary coffee disease in the world. The pathogenic fungus can find favorable environmental conditions in different countries, constantly threatening... ... |
 Authorship: VENDRAMINI, W. J.; NEVES, S. M. A. da S.; KREITLOW, J. P.; GALVANIN, E. A. dos S.; SILVA, J. dos S. V. da Analyzing the urban space related to its own growth allows to identify the identification of the dynamics of the natural elements and the way the intensified anthropic action shapes and at the same ti... ... |
 Authorship: SIQUEIRA, D. A. B.; VAZ, C. M. P.; SILVA, F. S. da; FERREIRA, E. J.; SPERANZA, E. A.; FRANCHINI, J. C.; GALBIERI, R.; BELOT, J. L.; SOUZA, M. de; PERINA, F. J.; CHAGAS, S. das Abstract: Satellite remote sensing data expedite crop yield estimation, offering valuable insights for farmers’ decision making. Recent forecasting methods, particularly those utilizing machine learni... ... |
 Authorship: ZHU, C.; LU, D.; VICTORIA, D. de C.; DUTRA, L. V. Mapping cropland distribution over large areas has attracted great attention in recent years, however, traditional pixel-based classification approaches produce high uncertainty in cropland area stati... ... |
 Authorship: MENDONÇA, L. D. de; ARROYAVE, C. G. C.; LIMA, E. R. de; VICENTE, L. E. Agricultural optimization and increased productivity is always a growing concern, due to the increasing population. Crops susceptible to a wide variety of hindering conditions, need to be carefully ob... ... |
 Authorship: PERTILLE, C. T.; SCHIMALSKI, M. B.; PICINATTO FILHO, V.; LIESENBERG, V.; OLIVEIRA, E. B. de; MIRANDA, F. das D. A. Essa pesquisa objetivou ajustar modelos de regressão e classificação utilizando os índices de vegetação (IV) mais robustos derivados a partir de imagens digitais de Sentinel-2/MSI para a detecção de á... ... |
 Authorship: LUZ, L. R.; GIONGO, V.; SANTOS, A. M. dos; LOPES, R. J. de C.; LIMA JÚNIOR, C. de Continued unsustainable exploitation of natural resources promotes environmental degradation and threatens the preservation of dry forests around the world. This situation exposes the fragility and th... ... |
 Authorship: BERNARDI, A. C. de C.; GREGO, C. R.; ANDRADE, R. G.; RABELLO, L. M.; INAMASU, R. Y. ABSTRACT - The knowledge of soil property spatial variability is useful for determining the rational use of inputs, such as the site-specific application of lime and fertilizer. The objective of this... ... |
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