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Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil. Author(s): SANCHES, I. D.; LUIZ, A. J. B.; MONTIBELLER, B.; SCHULTZ, B.; TRABAQUINI, K.; EBERHARDT, D. S.; FORMAGGIO, A. R.; MAURANO, L. E. P. Abstract: The agricultural activity can greatly benefit from remote sensing technology (RS). Optical passive RS has been vastly explored for agricultural mapping and monitoring, in despite of cloud co... ... Repository: BDPA Publication year: 2019
New biodegradable composites from starch and fibers of the babassu coconut. Author(s): MOURA, C. V. R. de; SOUSA, D. da C.; MOURA, E. M. de; ARAUJO, E. C. E.; SITTOLIN, I. M. This work aimed to obtain thermoplastic starch composites (TPS) derived from starch and fibers of babassu coconut. The (TPS) was prepared with 40% plasticizer (glycerol). The fibers underwent chemical... ... Repository: BDPA Publication year: 2021
Developments in forest monitoring under the Brazilian National Forest Inventory: multi-source and hybrid image classification approaches. Author(s): LUZ, N. B. da; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; MESQUITA JÚNIOR, H. N. de; FREITAS, J. V. de; COSTA, C. R. da Information on forest and tree resources as well as land use and land cover (LULC) maps are a growing demand which Brazilian National Forest Inventory (NFI-BR) is designed to meet through field and re... ... Repository: BDPA Publication year: 2015
Applications of satellite images and field databases to analyze agroforestry systems in Brazil. Author(s): BOLFE, E. L. Abstract - Agroforestry systems (AFS) are part of a land use strategy aimed at maintaining environmental services in Brazilian Amazonia. Retention of ecosystem carbon stocks is an important environmen... ... Repository: BDPA Publication year: 2020
Digital image processing techniques for detecting, quantifying and classifying plant diseases. Author(s): BARBEDO, J. G. A. Abstract. This paper presents a survey on methods that use digital image processing techniques to detect, quantify and classify plant diseases from digital images in the visible spectrum. Although dis... ... Repository: BDPA Publication year: 2013
Classification of integrated crop-livestock systems using PlanetScope time series. Author(s): ANTUNES, J. F. G.; REIS, A. A. dos; ALMEIDA, H. S. L.; WERNER, J. P. S.; FIGUEIREDO, G. K. D. A.; ESQUERDO, J. C. D. M.; BUENO, I. T.; TORO, A. P. S. G. D.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; MAGALHÃES, P. S. G. In this study, we assessed the performance of high spatial and temporal resolution PlanetScope (PS) time series to map integrated crop-livestock systems (ICLS) and different land covers in the western... ... Repository: BDPA Publication year: 2023
A digital image processing-based automatic method for measuring rice panicle lengths. Author(s): BARBEDO, J. G. A. Abstract. This paper presents a new method based on digital image processing techniques such as color transformations and mathematical morphology, as well as on some specialist knowledge, to provide e... ... Repository: BDPA Publication year: 2013
Geração automática de produtos derivados de imagem AVHRR-NOAA para monitoramento de áreas inundáveis do Pantanal. Author(s): ANTUNES, J. F. G.; ESQUERDO, J. C. D. M. Resumo. O monitoramento ambiental do Pantanal Brasileiro pode ser auxiliado com o uso de métodos de sensoriamento remoto por meio de imagens do satélite NOAA. Este artigo aborda o processamento automá... ... Repository: BDPA Publication year: 2006
Sistema para geração automática de produtos derivados de imagens de AVHRR/NOAA. Author(s): ESQUERDO, J. C. D. M.; ANTUNES, J. F. G.; ZULLO JÚNIOR, J. A geração de produtos derivados de imagens NOAA é uma tarefa trabalhosa. A elevada resolução temporal das plataformas NOAA resulta num grande número de imagens diariamente disponíveis, o que requer té... ... Repository: BDPA Publication year: 2005
Detection of sprout damage in wheat kernels using NIR hyperspectral imaging. Author(s): BARBEDO, J. G. A.; GUARIENTI, E. M.; TIBOLA, C. S. Repository: BDPA Publication year: 2018

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