Procesamiento de imágenes para la identificación de plagas en los cultivos de espinaca

Autor: Leonardo Enrique Solaque Guzmán, Astrid Vanessa Padilla Jimenez, Camilo Andrés Pulido Rojas
Rok vydání: 2016
Předmět:
Zdroj: 2016 IEEE Colombian Conference on Robotics and Automation (CCRA).
DOI: 10.1109/ccra.2016.7811412
Popis: This article on implementing a machine vision process, such as to enable support processes of agriculture. Work is born of the problems presented by different crops, causing great losses in both time and costs. Using machine vision every inconvenience that occurs from the stage of germination and growth to the maturation phase of each culture was analyzed. To this end, different methods of image processing such as segmentation, feature extraction and pattern recognition were used. Finally the results of image processing is achieved evidence which affects the culture, whether pests or weeds who are altering a given area of cultivation, and so have an early detection of the disease to prevent it from spreading to all cultivation.
Databáze: OpenAIRE