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About

Michael Koutsiaras is a leading researcher at the intersection of precision agriculture, digital twin technology, and robotics. His work focuses on developing and evaluating digital solutions to enhance crop protection and automate farming operations. In his highly cited 2023 meta-analysis (74 citations), Koutsiaras systematically demonstrated that precision farming technologies can significantly reduce dependency on plant protection products, providing a crucial evidence base for the adoption of digital pest prediction, detection, and control tools. More recently, he has pioneered the application of digital twin systems in agriculture, proposing a framework for their implementation in flexible agricultural robotics. His 2024 paper on this topic addresses a key barrier to robotic adoption in farming—the lack of planning and optimization tools common in industrial manufacturing. By bridging the gap between advanced manufacturing concepts and agricultural practice, Koutsiaras is shaping the future of smart, sustainable farming. His work is essential reading for researchers and students interested in the practical deployment of AI, IoT, and robotics for precision crop management.