EU Erasmus+ KA220-HED Project (2023-2026)

SMART Farming

The Future of Precision Agriculture – Machine Learning for Autonomous Decision Mechanisms

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About Our Project

From field data to farm decisions

Precision agriculture has become increasingly important as the world's population grows and food demand increases. Climate change, ageing populations, migration of young adults to cities, and the development of new technologies all present challenges requiring innovative solutions. SMART Farming addresses these challenges through autonomous decision-making mechanisms.

Our project develops software systems for autonomous decision support based on agronomic drone data and location-specific environmental parameters. By combining expertise from Germany, Austria, Romania, and Turkey, we create practical AI-driven tools that help farmers optimize irrigation, fertilization, and crop management while promoting sustainable practices.

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Our work

Project Activities

Follow our conferences, workshops, and field experiments across Europe.

Data Collection

Çukurova University’s field trial in Adana: 54 wheat plots with three nitrogen and three irrigation levels, sown early and late, and flown by drone over two seasons (5 flights in 2025, 7 in 2026). The drone images are the data every model in the project learns from.

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Artificial Intelligence

Software II turns Software I’s predictions into advice: it compares each plot with the NDVI expected for its growth stage, scores the field’s health and writes recommendations. First report January 2026; updated for the second data collection in September 2026.

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