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	Provedor de dados REA (5) Autor Valente,Domingos S. M. (5) Queiroz,Daniel M. de (4) Pinto,Francisco de A. de C. (3) Santos,Nerilson T. (2) Corrêa,Paulo C. (1) Gomes,Amanda P. A. (1) Mayrink,Grégory de O. (1) Queiroz,Daniel M. (1) Rosas,Jorge T. F. (1) Santos,Fábio L. (1) Silva,Luis C. da (1) Silva,Thales M. de A. (1) Vale,Sônia M. L. R. do (1) Zanella,Marco A. (1) Mais... Palavra-chave Precision agriculture (2) Algorithm (1) Beaglebone black (1) Costs (1) Georeferencing (1) Geostatistical (1) Management zone (1) Modeling (1) Modified RGB camera (1) Positioning (1) Radiometric calibration (1) Sensors (1) Software (1) UAV (1) Vegetation index (1) Yield map (1) Mais... Tipo do documento Info:eu-repo/semantics/article (4) Info:eu-repo/semantics/other (1) Ano 2021 (1) 2019 (2) 2014 (1) 2011 (1) País Brazil (5) Idioma Inglês (5)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 5 Primeira ... 1 ... Última A decision support system for cost determination in grain storage facility operations REA Valente,Domingos S. M.; Queiroz,Daniel M. de; Corrêa,Paulo C.; Silva,Luis C. da; Vale,Sônia M. L. R. do. Many research works have being carried out on analyzing grain storage facility costs; however a few of them had taken into account the analysis of factors associated to all pre-processing and storage steps. The objective of this work was to develop a decision support system for determining the grain storage facility costs and utilization fees in grain storage facilities. The data of a CONAB storage facility located in Ponta Grossa - PR, Brazil, was used as input of the system developed to analyze its specific characteristics, such as amount of product received and stored throughout the year, hourly capacity of drying, cleaning, and receiving, and dispatch. By applying the decision support system, it was observed that the reception and expedition costs were... Tipo: Info:eu-repo/semantics/article Palavras-chave: Costs; Modeling; Software. Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000400012 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 INTEGRATION OF A LOW-COST GLOBAL NAVIGATION SATELLITE SYSTEM TO A SINGLE-BOARD COMPUTER USING KALMAN FILTERING REA Silva,Thales M. de A.; Mayrink,Grégory de O.; Valente,Domingos S. M.; Queiroz,Daniel M.. ABSTRACT The global navigation satellite system (GNSS) is the basis for localized crop management by allowing the georeferencing of collected data and the generation of maps by different systems that compose precision agriculture. There is a demand for low-cost navigation systems to enable their use in agriculture. Therefore, the objective of this study is to integrate a low-cost GNSS module to a single-board computer using Kalman filtering to obtain navigation data. The system was evaluated by performing one static and two kinematic experiments, with three repetitions each. In the static experiment, the mean error was 3.25 m with a root mean square error (RMSE) of 3.73 m. In the first kinematic experiment, data variability was lower at a velocity of 1.39... Tipo: Info:eu-repo/semantics/article Palavras-chave: Georeferencing; Positioning; Beaglebone black; Algorithm. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300323 MANAGEMENT CLASS DELIMITATION IN A SOYBEAN CROP USING ORBITAL IMAGES REA Zanella,Marco A.; Queiroz,Daniel M. de; Valente,Domingos S. M.; Pinto,Francisco de A. de C.; Santos,Nerilson T.. ABSTRACT The delimitation of management classes is critical for successful precision agriculture. This process involves choosing the variables to use and analyzing the spatial variability of the variables. Thus, the objective of this study was to analyze the correlation between management class maps generated from orbital images and yield maps. A 95-hectare area of rainfed grain was evaluated. Yield maps were obtained for the 2015/2016 and 2016/2017 soybean crops. Orbital images were used from two dates for each crop to generate vegetation index maps. The spatial correlation between the vegetation indices and the yield maps was obtained using a bivariate Moran index. The delineated management classes were compared using the Kappa index. This study... Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Vegetation index; Yield map. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000500676 Spatial variability of apparent electrical conductivity and soil properties in a coffee production field REA Valente,Domingos S. M.; Queiroz,Daniel M. de; Pinto,Francisco de A. de C.; Santos,Fábio L.; Santos,Nerilson T.. Precision agriculture based on the physical and chemical properties of soil requires dense sampling to determine the spatial variability of these properties. This dense sampling is often expensive and time-consuming. One technique used to reduce sample numbers involves defining management zones based on information collected in the field. Some researchers have demonstrated the importance of soil electrical variables in defining management zones. The objective of this study was to evaluate the relationship between the spatial variability of the apparent electrical conductivity and the soil properties in the coffee production of mountain regions. Spatial variability maps were generated using a geostatistical method. Based on the spatial variability results,... Tipo: Info:eu-repo/semantics/other Palavras-chave: Geostatistical; Management zone; Sensors. Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000600017 Registros recuperados: 5 Primeira ... 1 ... Última

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