Stefania Lanza

Papers

Total Citations

111

H-Index

About

Stefania Lanza’s research lies at the critical intersection of robotics, artificial intelligence, and sustainable agriculture. Her work focuses on developing intelligent, autonomous systems to address pressing global challenges in food production and environmental stewardship. Lanza’s major contributions include pioneering adaptive metaheuristic-based methods for 3D robot path planning, a core problem in deploying autonomous agricultural robots. Her most-cited paper (82 citations) introduces novel algorithms that allow robots to navigate complex, dynamic farm environments efficiently, directly supporting precision agriculture. She further advances the field with a comprehensive, integrated framework for a fully mechanized smart farm—from cultivation to harvest (29 citations). This work demonstrates how automation and AI can transform traditional farming into a sustainable, resource-efficient practice. By tackling both the algorithmic challenges of robot navigation and the system-level design of smart agriculture, Lanza’s research provides tangible solutions for increasing crop yields while minimizing environmental impact. Her innovative approach positions her as a key contributor to the future of sustainable food systems.