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	Provedor de dados CIGR Journal (2) Autor Roa Guerrero, Edgar Eduardo (2) Bonilla Gonzalez, Johnatan (1) Cifuentes Guerrero, Pedro Luis (1) Numpaque López, Humberto (1) Palavra-chave Artificial vision system (1) Computational tool (1) Growth indices (1) Identification of nutritional deficiencies in plants Nutritional deficiencies (1) Image processing (1) Physiological indices of plants Leaf area artificial vision system mobile device radial basis neural networks image processing. (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2018 (1) 2016 (1) País China (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Development of a portable system for detection of leaf area in plants CIGR Journal Roa Guerrero, Edgar Eduardo; Bonilla Gonzalez, Johnatan; Numpaque López, Humberto; Cifuentes Guerrero, Pedro Luis. Recently, the determination of leaf area and growth rates in plants through portable devices has become popular due to the advantages offered by artificial vision systems to identify and classify objects using images. The purpose of the research was to develop a portable system for measuring leaf area through image recognition. The methodology includes 3D designs, acrylic device building, determining the area in pixels by the technique of radial basis neural networks (RBFN) directly in the RGB color space and pixel conversion to cm2. The results obtained by analysis of variance for each species showed that the p-value was greater than 0.86 for each class of plants. Moreover, the system obtained coefficients of determination higher to 0.90 for Orange... Tipo: Info:eu-repo/semantics/article Palavras-chave: Artificial vision system; Physiological indices of plants Leaf area artificial vision system mobile device radial basis neural networks image processing.. Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3961 DEVELOPMENT OF A COMPUTATIONAL TOOL TO IDENTIFY NUTRITIONAL DEFICIENCIES IN CURUBA PLANTS (Passiflora tripartita var. molissima) CIGR Journal Roa Guerrero, Edgar Eduardo. Nowadays, the determination of nutritional deficiencies in plants has become one of the most important analysis of crop growth. Often, this analysis is performed manually by specialized personnel for long period of time, leading to an error in the procedure. The purpose of this research is to develop a computational tool for the identification of nutritional deficiencies such as Nitrogen, Potassium and Phosphorus in Curuba plants. The methodology includes 3D designs, tool construction and the detection of nutritional deficiencies by image processing techniques in MatLab. Finally, the results obtained by the developed computational tool with respect to the data provided in a traditional way by the technical experts, presented an accuracy of 100%, 80%, 91%... Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Identification of nutritional deficiencies in plants Nutritional deficiencies; Growth indices; Computational tool. Ano: 2018 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4335 Registros recuperados: 2 Primeira ... 1 ... Última

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