Empovering small-scale Serbian farmers by leveraging AI and data-driven solutions to enhance productivity, resilience, and sustainability.

This project focuses on empowering small-scale farmers in Serbia by leveraging artificial intelligence and data-driven solutions to address critical challenges in agriculture. Farmers in rural areas face economic vulnerabilities, outdated practices, and exposure to risks like pest outbreaks and diseases, including African Swine Fever. These challenges have led to inefficiencies, farm closures, and food security issues.

By integrating AI with precision agriculture, the project aims to optimize resource usage, improve decision-making, and enhance productivity. Tools like predictive analytics will help forecast agricultural risks, enabling farmers to take proactive measures. AI-powered systems will provide real-time, personalized recommendations on planting, irrigation, and fertilization, fostering resilience and economic sustainability.

Collaborating with the University of Kragujevac and Queen’s University Belfast, the project will involve workshops, farm visits, and knowledge exchange programs to ensure solutions are tailored to local needs. This participatory approach will also enhance technological literacy among farmers, build trust in AI systems, and promote scalable models for broader application.

Ultimately, this initiative seeks to transform Serbian agriculture into a more efficient, sustainable, and equitable sector, addressing economic disparities while contributing to food security and rural development. The project also aims to create a replicable framework for AI adoption in agriculture across other developing regions.