Diseño e Implementación de Técnicas de Visión Artificial para la Detección y Localización de Frutos.

Abstract

Today calculate or keep in mind fruit densities in plantations with large areas, is a problem since as these areas spread out, it becomes more difficult to foresee quantities of the fruit to study and in turn limits the farmer to be dependent on systems rudimentary For this reason, a system capable of identifying fruits and locating crops is proposed. within a large-scale crop, all using artificial vision algorithms, artificial intelligence and geolocation. This system is designed with the aim of improving decision making by farmers and of the specialists of the cultivation of strawberries, in front of collection times and harvest projection, of In this way, the efficiency of production and quality of the fruit is increased, thus giving an impact on the market, being able to estimate quantities and harvest times, thus showing decreases in the time that the counting process would take manually, in order to acquire effects favorable, gives way to the design and implementation of artificial vision techniques for the detection and location of fruits, contemplating that this system is totally portable and functional within of the field of work, since it performs the pre-processing, processing and post-processing been in cultivation.