Artificial Intelligence tool designed to identify olive varieties based on photos of olive pits
The Ucolivo group, within the framework of the GEN4OLIVE European project, is participating in the development of a neural network trained with the largest photographic database of olive endocarps
Predictive models augur that at the end of the century fields will need more water than today
A team from the University of Cordoba has published evapotranspiration projections for Andalusia through 2100, using a machine learning model that allows this data to be obtained based on the air temperature
VRAILEXIAPROJECT | Artificial Intelligence and Virtual Reality Against Dyslexia
The UCO's research team in charge of the project aims to understand the reality of university students with dyslexia in order to monitor the data obtained through a questionnaire and detect the mechanism used by those who continue their higher studies
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.