Daniele Pinna

Papers

Total Citations

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About

Daniele Pinna is a researcher at the forefront of agricultural robotics, specializing in the design, implementation, and assessment of autonomous ground vehicles (AGVs) for precision farming. His work focuses on bridging the gap between theoretical automation and real-world agricultural applications, with a particular emphasis on electric-powered, sustainable solutions. Pinna’s major contributions include the comprehensive evaluation of an autonomous electric tracked robot for real farming tasks, demonstrating its viability for weeding and tilling operations. His research has quantified critical performance metrics—such as a maximum forward speed of 0.8 m/s, the ability to tow up to 230 kg without significant speed reduction, and an average energy consumption of 1.42 kWh/h—providing essential data for the development of efficient, low-emission agricultural machinery. With his most-cited paper garnering 8 citations since 2024, Pinna’s work is already shaping the conversation around autonomous farming. His notable achievement lies in proving that electric robots can perform heavy-duty field operations, paving the way for reduced labor costs and environmental impact in modern agriculture.