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A Multi-purpose Robotic Platform for Precision Agriculture

  • Francesco Visentin,
  • Simone Cremasco,
  • Edoardo Fiorini,
  • Fabio Castellini,
  • Riccardo Muradore

摘要

This paper introduces a modular robotic platform based on tracks for versatile terrain adaptability. The system integrates a vision system and sensors for autonomous navigation, enabling semi-autonomous and fully autonomous operations. Additionally, the platform features a multi-spectral camera mounted on a robotic arm for plant monitoring. The evaluation of the systems demonstrates the robot’s capability to navigate toward target positions, avoid obstacles, and detect and scan crops. This modular approach offers a foundation for advancing sustainable farming practices and addressing the challenges the agricultural industry faces.