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Automatic classification of soybean diseases based on digital images of leaf symptoms. Author(s): BARBEDO, J. G. A.; GODOY, C. V. ABSTRACT; This paper presents an algorithm for automatic classification of diseases that produce symptoms in soybean leaves. The algorithm is based on digital image processing techniques and on a modi... ... Repository: BDPA Publication year: 2015
Comparison between artificial neural networks and maximum likelihood classification in digital soil mapping. Author(s): CHAGAS, C. da S.; VIEIRA, C. A. O.; FERNANDES-FILHO, E. I. Soil surveys are the main source of spatial information on soils and have a range of different applications, mainly in agriculture. The continuity of this activity has however been severely compromise... ... Repository: BDPA Publication year: 2013
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
Water quality and agricultural sustainability in the Mantiqueira Ecological Corridor, Brazil. Author(s): SANTOS, G. M.; ASSAD, M. L. R. C. L.; HOTT, M. C.; OTENIO, M. H. The presence of fecal coliforms is one of the determinants for classification of the quality of water bodies. The aim of this study was to evaluate the relationship between the water quality and surro... ... Repository: BDPA Publication year: 2014
Digital soilscape mapping of tropical hillslope areas by neural networks. Author(s): CARVALHO JUNIOR, W. de; CHAGAS, C. da S.; FERNANDES FILHO, E. I.; VIEIRA, C. A. O.; SCHAEFER, C. E. G.; BHERING, S. B.; FRANCELINO, M. R. Geomorphometric variables are applied in digital soil mapping because of their strong correlation with the disposition and distribution of pedological components of the landscapes. In this research, t... ... Repository: BDPA Publication year: 2011
Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes. Author(s): DART, R. de O.; COELHO, M. R.; MENDONÇA-SANTOS, M. de L.; PARES, J. G.; BERBARA, R. L. L. The use of Digital Soil Mapping (DSM) to predict soil classes is an important issue to decrease costs and subjectivity of soil maps. The main objective of this study was to use DSM to produce soil map... ... Repository: BDPA Publication year: 2010
Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images. Author(s): CECHIM JUNIOR, C.; JOHANN, J. A.; ANTUNES, J. F. G. ABSTRACT. The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining pri... ... Repository: BDPA Publication year: 2017
Classificação híbrida de imagens Landsat-8 e RapidEye para o mapeamento do uso e cobertura da terra nas Unidades Amostrais de Paisagem do Inventário Florestal Nacional do Brasil. Author(s): LUZ, N. B. da; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; FRANCISCON, L.; MESQUITA JÚNIOR, H. N. de; FREITAS, J. V. de In response to the growing demand for reliable information on forest and tree resources as well as for land use/land cover (LULC) maps at larger scales, the Brazilian National Forest Inventory (NFI-BR... ... Repository: BDPA Publication year: 2015
Pedoforms mapping at the Águas Emendadas ecological station, Distrito Federal, Brazil. Author(s): LACERDA, M. P. C.; ALVES, H. M. R.; VIEIRA, T. G. C.; BILICH, M. R.; BARBOSA, I. O. The great urban and rural development of the Distrito Federal (Federal Administrative District) in Brazil over the last 50 years has led to disordered land use and land occupation. To assess the curre... ... Repository: BDPA Publication year: 2010
Disease detection in citrus crops using optical and thermal remote sensing: a literature review. Author(s): CASTRO, V. H. M. e de; PARREIRAS, T. C.; BOLFE, E. L. Brazil stands out in the international citrus trade, especially due to its oranges, having produced around 16 million tons in 2021. However, productivity could be increased with greater control of dis... ... Repository: BDPA Publication year: 2023

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