Search for Damage of the Citrus Miner to the Lemon Leaf, Implementing Artificial Vision Techniques

Computer vision it is a scientific discipline that in recent years it is being widely used in applications via computer. Such discipline includes mechanisms to capture, process, analyze and understand the images from some specific domain. Currently has become a very important tool and powerful in agronomy to monitor growth and fruit development and vegetables that are produced in the Mexican fields. In this investigation digital image processing is applied to preprocess, segment, extract features and classify the marks left by the miner in the leaves of the Mexican lemon. The digital image processing, segment and classify the leaves on the lemon trees, making use of the established color models by Commission Internationale d’Eclairage (CIE). The techniques used in this work to segment and classify the leaves of the lemon tree; are able to process the images even if they have: low lighting, pixel saturation, noise, shades, different shades in the lemon leaves and intrinsic parameters of photographic cameras. There are several investigations in this regard, which have demonstrated how important it is the optimum choice of color model to be used for each specific area. In the present investigation, the color model HSL (Hue, Saturation, Lightness) was considered, which was used in the software MatLab ® for the tests that were carried out.