Sistema de riego por goteo telecontrolado mediante una funcionalidad de pronóstico basada en el modelo hídrico de la FAO

Abstract

This project focuses on the implementation of a drip irrigation system prototype integrating the FAO's water balance model, designed for the cultivation of Diacol Capiro potatoes. The goal is to develop a control mechanism that optimizes water use based on predictions and monitoring of real soil and environmental conditions through web visualization. The project methodology was divided into four key phases. Initially, the physical structure of the irrigation prototype was built, then sensors were programmed and calibrated, later, the sensors were implemented on the Raspberry Pi to enhance control and facilitate the integration of the water balance model, and finally, the water balance model was implemented for the comprehensive operation of the project. The main result of the project was the ability to activate the irrigation system of the prototype at precise moments and with the exact amount of water in collaboration with the water balance model's ability to determine the crop's water needs. It was also achieved, through continuous analysis of data generated by the system, to keep a record on a web page. The implementation of a telecontrolled drip irrigation system demonstrates efficient water use, promoting sustainable irrigation practices. The integration of sensor technologies and predictive models improves water management in crops such as Diacol Capiro potatoes, ensuring efficient and sustainable production.