iRiego launches the second edition of the online course on meteorological data digitization and pest detection.
Description
The company iRiego New Generation SL is organizing the second edition of the course "Digitization of Meteorological Data and Pest Detection" on November 17, 18, and 19, 2025 , as part of its training program for the agricultural sector.
This is a free online course, lasting a total of 18 hours , aimed at agricultural professionals, agri-food sector technicians, and students interested in improving their digital skills for agricultural management.
Course objective
The course aims to teach how to collect, digitize, and analyze meteorological data for decision-making on agricultural farms, as well as how to apply digital tools for early pest detection , contributing to more efficient, sustainable, and climate-resilient agriculture.
Teachers
- Rodrigo Fernández (Vexiza)
- Sergio Fernández Tejerina (Vexiza)
- Carla Meleiro
- Lorena Miguélez
- Ana Rosalina López
Program (18 hours)
Day 1 – Monday, November 17
- Introduction to the digitalization of meteorological data.
- Installation and operation of digital weather stations.
- Collection, storage and processing of climate data.
- Practical applications for irrigation and crop management.
Day 2 – Tuesday, November 18
- Pest detection and monitoring systems.
- Digital tools and decision support platforms.
- Prediction methods based on meteorological data.
- Practical exercises with real examples of pests in different crops.
Day 3 – Wednesday, November 19
- Integration of meteorological and pest data into agricultural management.
- Use of mobile applications and support software for farmers.
- Case study analysis and problem solving.
- Final evaluation and conclusions.
Registration
Registration is now open and will continue until places are filled.
With this second edition, iRiego continues its commitment to digital training in the agricultural sector , offering professionals the necessary tools to optimize data management and strengthen the sustainability of farms .