Additional taxes vs. water quotas. A study compares the most effective system to manage water consumption in agriculture
Based on a mathematical programming model, the study finds that the proportional allocation of water, and not additional taxes on the resource, is more effective from the point of view of those engaged in agriculture
Artificial Intelligence Used to Predict How Much Water Irrigators Will Use in Each Rate Period
A model developed by the Department of Agronomy at the UCO, based on Artificial Intelligence techniques, predicts how much water irrigators will use during different rate periods one day in advance, thereby optimizing energy usage
Artificial intelligence saves water for water users associations
A research group at the University of Cordoba has developed a model based on artificial intelligence techniques that can predict how much water each water user will use
Agriculture uses 70% of the water in the world and this appears to be an upward trend regarding water needs. In this context in which the demand in other industry sectors is increasing as well and the effects of climate change influence ever-increasing water shortages, water saving measures have become an unavoidable challenge if we want to maintain the sector and preserve life.