HORIZON-CL6-2026-02-FARM2FORK-06 Advanced innovative solutions for improved competitiveness and sustainability in controlled environment agriculture

AI-Based Monitoring and Predictive Modeling

Doğuş Teknoloji will contribute by developing advanced AI-driven systems for optimizing controlled environment agriculture.

·        These systems will integrate sensor-based monitoring with expert agronomic knowledge to provide precise recommendations for irrigation, fertilization, and climate control. Real-time data from sensors measuring soil moisture, nutrient levels, temperature, humidity, and light intensity, along with image-based plant observations, will feed into machine learning models that continuously improve and adapt to different crop types and environments. Predictive modeling and simulation capabilities will enable farmers to anticipate plant health issues and resource needs under various scenarios, supporting proactive decision-making. This hybrid approach—combining automation, AI analytics, and expert knowledge—will empower farmers to adopt sustainable, efficient, and profitable practices while reducing resource waste and enhancing climate resilience.

We aim to satisfy the below scope/outcomes of the call:

·        farmers are supported in their transition into innovative controlled environment farming techniques and decision support tools for sustainable growth optimisation strategies

·        develop data-driven decision-making smart automation and precision farming techniques, as well as predictive analytics for plant growth optimisation (e.g. via AI modelling)