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Vegetation indices applied to suborbital multispectral images of healthy coffee and coffee infested with coffee leaf miner. Author(s): SANTOS, L. M. dos; FERRAZ, G. A. e S.; MARIN, D. B.; CARVALHO, M. A. de F.; DIAS, J. E. L.; ALECRIM, A. de O.; SILVA, M. de L. O. e The coffee leaf miner (Leucoptera coffeella) is a primary pest for coffee plants. The attack of this pest reduces the photosynthetic area of the leaves due to necrosis, causing premature leaf falling,... ... Repository: BDPA Publication year: 2022
Importância de índices de vegetação para modelos de estimativa de produtividade em cana-de-açúcar. Author(s): SPERANZA, E. A.; ANTUNES, J. F. G.; BARBOSA, L. A. F.; CANÇADO, G. M. de A.; VANSCONCELOS, J. C. Este trabalho descreve o experimento realizado com o algoritmo de aprendizado de máquina Random Forest para identificação da importância de utilização de diferentes índices de vegetação obtidos de ima... ... Repository: BDPA Publication year: 2023
Viticultura de precisão na produção de vinhos de colheita de inverno. Author(s): BASSOI, L. H.; OLDONI, H.; COSTA, B. R. S.; SILVA, T. M. M. da; FARINASSI, L. G.; PEREIRA, A. J.; SOUZA, C. R. de; AMARAL, L. B. do; MOTA, R. V. da; CÂMARA, F. M. M.; BENDER, A. A delimitação de zonas de manejo em vinhedos, a partir de zonas homogêneas de atributos de solo e de planta, é discutida neste capítulo. Essas zonas possibilitam a realização de práticas de manejo dif... ... Repository: BDPA Publication year: 2024
Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends. Author(s): HIDALGO CHÁVEZ, D. W.; SILVA, F. L. C. DA; PINTO, R. V.; CARVALHO, C. W. P. de; FREITAS-SILVA, O. This article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extru... ... Repository: BDPA Publication year: 2023
SciPy and OpenCV as an interactive computing environment for computer vision. Author(s): SANTOS, T. T. In research and development (R&D), interactive computing environments are a frequently employed alternative for data exploration, algorithm development and prototyping. In the last twelve years, a pop... ... Repository: BDPA Publication year: 2015
Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction. Author(s): LOEBMANN, D. G. dos S. W.; VICENTE, L. E.; DE PAULA, S. C.; VICTORIA, D. de C.; ANDRADE, R. G.; SILVA, R. F. B. DA; AGNESE, M. L. Remote sensing by spectral imaging of the Earth's surface can be widely used, but only when the atmospheric influence is nullified and the data are reduced to surface reflectance units. The atmospheri... ... Repository: BDPA Publication year: 2012
Landsat next: nova plataforma orbital para monitoramento da produtividade da soja. Author(s): CRUSIOL, L. G. T.; SIBALDELLI, R. N. R.; NANNI, M. R.; GONÇALVES, J. V. F.; FURLANETTO, R. H.; GONCALVES, S. L.; MORAES, L. A. C.; FOLONI, J. S. S.; MERTZ-HENNING, L. M.; NEPOMUCENO, A. L.; NEUMAIER, N.; FARIAS, J. R. B. Repository: BDPA Publication year: 2024
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
Detecting wheat Fusarium head blight using hyperspectral imaging. Author(s): BARBEDO, J.; TIBOLA, C.; FERNANDES, J. M. The objective of this study was to detect FHB in wheat kernels using HSI. An algorithm, based on mathematical morphological operations and linear thresholding, was developed and implemented in order t... ... Repository: BDPA Publication year: 2015
Desenvolvimento de protocolo de aplicação de matriz em folha de dendê para imagem química por MALDI-MS. Author(s): RODRIGUES NETO, J. C.; TEIXEIRA, T. S.; COSTA, P. P. K. G.; ABDELNUR, P. V. Repository: BDPA Publication year: 2018

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