Registration is now open for the free online course "Digitization of meteorological data and pest detection"

iRiego has opened registration for the free online course “Digitization of Meteorological Data and Pest Detection” , which will be held from April 6 to 8, 2026. This training will focus on the use of meteorological data to improve irrigation management and optimize decision-making in agriculture.

The course will allow participants to delve into the usefulness of digitization and climate data analysis as key tools for more precise agronomic management. Understanding and interpreting meteorological information is increasingly important for anticipating situations that affect crop development and the efficient use of resources.

The training will cover the application of this data in pest prediction and management, a crucial aspect for moving towards more sustainable and efficient production systems. Digitizing climate information allows for the detection of patterns, improved monitoring of crop conditions, and a stronger response to phytosanitary threats.

The course will also teach participants how to use digital tools to monitor both weather variables and pest outbreaks, promoting smarter, data-driven agriculture. The training will also benefit from the collaboration of Vexiza , a company specializing in GIS solutions, which will contribute its expertise in applying technologies to land management and agriculture.

Course structure: 18 hours (6 hours per day)

Day 1: April 6th. 9-15 hours

• 9 hours . Module 1. Introduction to the digitization of meteorological data. Importance of meteorological data. Tools for the digitization and management of meteorological data. Activity: review of meteorological data platforms and applications.
• 12:30 pm . Break
• 13 hours . Module 2. Part One. Digitization of meteorological data for irrigation decision-making. Methods for collecting meteorological data (temperature, humidity, precipitation). Data analysis to optimize irrigation.

Day 2: April 7th. 9-15 hours

• 9 hours. Module 2. Part Two. Examples of how meteorological data affects irrigation decisions. Activity: workshop on analyzing a set of meteorological data applied to irrigation.
• 10:45 a.m. Break
• 11:15 a.m. Module 3. Pest prediction through the digitization of meteorological data. Relationship between meteorological conditions and pest development. Pest prediction models based on meteorological data. Digital tools for pest monitoring and prediction. Activity: Practical exercise in pest prediction using historical data and available tools.

Day 3: April 8th. 9-15 hours

• 9 hours. Module 4. Review of software and applications for managing meteorological and pest data. Creation of an action plan for implementing these tools in the field. Activity: Design of a monitoring system that integrates meteorological data and pest detection.
• 12:30 pm . Break
• 13 hours . Final module. Summary of learning outcomes. Questions and answers with technical staff. Course evaluation (satisfaction survey).

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