Recognition of the Damage Caused by the Cogollero Worm to the Corn Plant, Using Artificial Vision

Abstract

The vision by computer has become a very important tool and powerful in the area of agriculture and agronomy for monitoring and automatic handling of the different agricultural processes. Digital processing of images is used to segment and classify leaves in the corn fields of the Mexican fields making use of color models. The techniques of segmentation and classification using color, they are capable of processing trivial features such as: shadows, noise, pixel saturation, low light, different crop varieties and intrinsic camera parameters. Several previous investigations, have shown the importance to select the optimal color space for each specific area. In the present investigation the HSI color model is used, which was used in the software MatLab ® demonstrating the practical feasibility of the project.