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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
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
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
Automatic method for counting and measuring whiteflies in soybean leaves using digital image processing. Author(s): BARBEDO, J. G. A. Abstract. This paper presents an automatic method based on digital image processing for analyzing the leaves of soybean plants hosting whiteflies. The method is capable not only of counting and measur... ... Repository: BDPA Publication year: 2013
Digital image-based tracing of geographic origin, winemaker, and grape type forred wine authentication. Author(s): LIMA, C. M. de; FERNANDES, D. D. S.; PEREIRA, G. E.; GOMES, A. de A.; ARAÚJO, M. C. U. de; DINIZ, P. H. G. D. This work proposes the development of a simple, fast, and inexpensive methodology based on color histograms (obtained from digital images), and supervised pattern recognition techniques to classify re... ... Repository: BDPA Publication year: 2020
Application of Digital Imaging Allied to Chemometrics in the Use of Non-destructive Phenotyping of Sesame Seeds. Author(s): NASCIMENTO FILHO, W. B. do; IDADE, M. J. A.; PANERO, F. dos S.; SMIDERLE, O. J. Repository: BDPA Publication year: 2022
Image-based 3D digitizing for plant architecture analysis and phenotyping. Author(s): SANTOS, T. T.; OLIVEIRA, A. A. de Abstract-Functional-structural plant modeling and plant phenotyping require the measurement of geometric features in specimens. This data acquisition is called plant digitizing. Actually, these measur... ... Repository: BDPA Publication year: 2012
Metodologia para processamento de imagens digitais do sistema radicular de milho e sorgo utilizando a plataforma Digital Imaging of Root Traits (DIRT). Author(s): SANTOS, T. T.; SOUSA, S. M. de; CAMPOLINO, M. L.; LANA, U. G. de P.; COELHO, A. M. Neste trabalho, apresentamos uma nova metodologia para segmentação e identificação de itens em imagens, baseada em aprendizado de máquina, que é mais robusta que a metodologia de pré-processamento de... ... Repository: BDPA Publication year: 2019
Automatically measuring early and late leaf spot lesions in peanut plants using digital image processing. Author(s): BARBEDO, J. G. A. Abstract. This paper presents a method to measure the lesions originated by the Cercospora arachidicola and Cercosporidium personatum fungi, which cause, respectively, the early and late leaf spots in... ... Repository: BDPA Publication year: 2013
A new approach to automate the seed vigor analysis on soybean seedling using digital images. Author(s): LIMA, D. C. de; RODRIGUES, E. L. L.; JORGE, L. A. de C. Repository: BDPA Publication year: 2014

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