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	Provedor de dados REA (1) AGRIAMBI (1) Autor Rosas,Jorge T. F. (2) Almeida,Samira L. H. de (1) Capelini,Vinicius A. (1) Gomes,Amanda P. A. (1) Lima,Julião S. de S. (1) Pinto,Francisco de A. de C. (1) Queiroz,Daniel M. de (1) Silva,Samuel de A. (1) Valente,Domingos S. M. (1) Mais... Palavra-chave Climate change (1) Geostatistics (1) Modified RGB camera (1) Moniliophthora roreri (1) Precision agriculture (1) Precision phytopathology (1) Radiometric calibration (1) Theobroma cacao (1) UAV (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2021 (1) 2020 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última COMPARING A SINGLE-SENSOR CAMERA WITH A MULTISENSOR CAMERA FOR MONITORING COFFEE CROP USING UNMANNED AERIAL VEHICLES REA Gomes,Amanda P. A.; Queiroz,Daniel M. de; Valente,Domingos S. M.; Pinto,Francisco de A. de C.; Rosas,Jorge T. F.. ABSTRACT There exist two options for digital cameras that can capture the near-infrared (NIR) band. Conventional red–green–blue (RGB, visible bands) cameras with a single sensor provide NIR band visibility based on the removal of the internal NIR-blocking filter. Alternatively, multisensor cameras exist that have a specific sensor for each band. The modified RGB cameras are of a lower price. In this context, the objective of this study was to compare the performance of a modified RGB camera with that of a multisensor camera for obtaining the normalized difference vegetation index (NDVI) in an area with coffee cultivations. A multispectral camera with five sensors and another camera with only one sensor were used. The NDVI of the coffee field was also... Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; UAV; Radiometric calibration; Modified RGB camera. Ano: 2021 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000100087 Fuzzy modeling of the risk of cacao moniliasis occurrence in Bahia state, Brazil AGRIAMBI Almeida,Samira L. H. de; Silva,Samuel de A.; Lima,Julião S. de S.; Rosas,Jorge T. F.; Capelini,Vinicius A.. ABSTRACT This work aimed to determine potential areas for the establishment of cocoa moniliasis in Bahia state, Brazil, by means of fuzzy logic, based on historical datasets of temperature and air relative humidity, available for 519 measurement points distributed throughout the state of Bahia. The data were initially submitted to a descriptive statistical analysis. The spatial variability was determined through geostatistical analysis, followed by interpolation to map the spatial-temporal structure dependence of the phenomenon. Simulations of continuous pixel-to-pixel classification of variables were performed using fuzzy mapping to model the climatic risk of disease establishment. The exponential fuzzy model was applied to temperature data, while the... Tipo: Info:eu-repo/semantics/article Palavras-chave: Moniliophthora roreri; Theobroma cacao; Climate change; Geostatistics; Precision phytopathology. Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000400225 Registros recuperados: 2 Primeira ... 1 ... Última

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