Project Objectives
Five key objectives guide our research and development efforts throughout the project lifecycle.
AI-Driven Decision Support
Develop an autonomous decision-making mechanism for precision agriculture enabling efficient, data-driven decision processes using drone data and environmental parameters.
Precision Agriculture Tools
Create practical AI tools that help farmers optimize irrigation, fertilization, and crop management based on real-time field data.
Knowledge Transfer
Share research findings through publications, workshops, seminars, and open-source tools to benefit the wider agricultural community.
Sustainable Practices
Promote sustainable agricultural practices using energy-efficient technologies, precision irrigation, crop rotation, and waste reduction measures.
Capacity Building
Train farmers, students, and agricultural professionals in the use of AI and precision agriculture technologies.
Project Outputs
Tangible outputs that will be produced and made available throughout the project duration.
Beta AI model delivered: ~65% accuracy for nitrogen/soil, ~45-49% for irrigation/water stress detection.
In DevelopmentStage-aware recommendation engine using Zadoks-based phenological framing and NDVI-DAS patterns.
In DevelopmentUser-friendly app for our software pipeline.
In Development8/10 chapters completed. Comprehensive publication covering precision agriculture and case studies.
In ProgressSeminar Materials used to Disseminate our project.
In ProgressTwo 10-minute videos providing insights into autonomous decision making in precision agriculture.
PlannedPeer-reviewed publications in agricultural and AI journals
OngoingFour Multiplier Events (Berlin, Adana, Arad, Innsbruck) and one Final Conference in Arad to disseminate project findings.
PlannedExplore Our Work
Learn more about our research activities and meet our consortium partners.