Precision farming generates a growing volume of data, from satellite imagery to soil sensors and yield maps. Turning this data into decisions that farmers and advisors can act on remains a challenge for many SMEs in the agri-food and agricultural machinery sectors.
The Agri-Digital Growth course on Data Processing and AI addresses this gap and is now available on the 28Digital platform, as one of the five pilot courses the partnership designed to close the digital skills gap in the agri-food sector.
The course covers seven modules that follow the data journey, from collection to interpretation and decision making, and close on the role AI plays in agriculture today and in the years ahead. The modules are:
Precision Farming and Equipment Fundamentals
Digital Data
Tools and Software
Data Collection
Advanced Data Processing
Data Interpretation and Decision Making
AI in Agriculture
Across the modules, learners engage with satellite data and NDVI indices, soil maps and yield data integration, land parcel identification systems, farm management information systems, GIS applications, GNSS tracking, IoT technologies, big data storage and cloud computing, image classification methods and decision support tools for precision agriculture adoption. The final module traces the evolution of AI in agriculture and its potential role in CAP reform and future farming systems.
Like the other ADG pilot courses, Data Processing and AI follows a micro-credential structure of around 25 hours. Between eight and twelve hours are dedicated to video lessons prepared by the partners’ experts, around two hours to quizzes and the final test. The remaining time is left for individual study through a dedicated resources section. Learners who complete the full course and pass the final test receive a certificate of completion. Learners who follow Precision Farming Basics and one specialised course of their choice obtain the Precision Farming Specialist certification. Learners who do not need a certificate can also select single modules according to their interests.
The course addresses junior profiles in traditional SMEs as well as PhD and master’s degree holders who want to build competences in data-driven farming. Access is open and free of charge: https://28digital.ea.education/adg/.