The University of Seville, Econatur and Solutia design a smart platform to implement a new eco-sustainable agriculture model: iAgri. This platform -which will collect the data in an automated way through the combination of sensors or advanced processing stations, the application of data processing techniques on external sources and the addition of data by the farmer- will allow to reduce production costs, optimize handling agriculture (fertilizers, irrigation, pathogen control, harvest season, physiological adaptation of the crop to weather conditions) and certify the quality of food and the sustainability of agricultural production.
This project, coordinated by OnTech, is developing an artificial intelligence algorithm that analyzes the data from sensors installed on the La Añoreta farm (Córdoba) and that emulates the knowledge of the experts to inform the farmer of the different situations that are occurring in the plantations. Specifically, data from different types of crops such as wheat, almond or tomato are processed and magnitudes such as environmental temperature, amount of rainfall, humidity, pressure or salinity are measured.
With these parameters and their subsequent analysis, the relationships that allow predicting risks such as pests, diseases, water stress, solar radiation stress, salinity stress, poor vegetative development or fruit set failure will be investigated. The algorithm must alert the farmer of the possible risks that may arise in the future, anticipating and thus allowing to avoid possible damage to the crops.
Another objective pursued by the iAgri project is to determine whether the crop is sustainable or not by analyzing the measurements of the sensors. The function of the artificial intelligence system will be to assess the situation and notify the farmer to take the appropriate measures indicated by the experts.