Instituto de Investigación Loyola Energía, Tecnología y Sostenibilidad

Deficit Irrigation Scheduling System for Organic Horticultural Crops Based on Highly Configurable IoT Virtual Sensors and Artificial Intelligence with Software Product Lines

The AquaIA Operational Group aimed to develop and test in a real environment a cyber-physical system designed to optimize irrigation scheduling in complex agricultural systems, particularly in organic farming operations.

The tool was conceived to integrate the complexity of agroecosystems, considering factors such as soil conditions, climate, associated crops, and the biodiversity of species and varieties characteristic of organic gardens.

The project sought to provide a simple, flexible, and configurable solution capable of saving water and measuring irrigation efficiency. Moreover, the data generated helped highlight farmers’ efforts to implement best agronomic practices and optimize water use—an increasingly important aspect for both consumers and the sustainability of the agricultural sector.