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Agricultural Robotics for Field Operations.

Spyros Fountas1, Nikos Mylonas1, Ioannis Malounas1

  • 1Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece.

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Summary

Agricultural robotics are advancing modern farming by automating labor-intensive tasks. This review highlights harvesting and weeding robots as most studied, while disease detection and seeding robots require further development for optimized crop production.

Keywords:
autonomous vehiclescropsexecutionfield operationsperception

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Area of Science:

  • Agricultural Science
  • Robotics Engineering
  • Computer Science

Background:

  • Modern agriculture leverages technological advancements like informatics, sensors, and navigation.
  • Labor-intensive crop production operations drive the need for automation.
  • Agricultural robots offer solutions for complex, repetitive, and sensitive field tasks.

Purpose of the Study:

  • To conduct a systematic literature review of agricultural robotics in crop field operations.
  • To identify research and commercial robotic systems currently in use.
  • To analyze the focus areas and identify gaps in agricultural robotics research.

Main Methods:

  • Systematic literature review of research and commercial agricultural robotics.
  • Analysis of robotic applications in crop field operations.
  • Categorization of robotic systems based on their primary function.

Main Results:

  • Robotic systems for harvesting and weeding are the most extensively studied applications.
  • Robotic systems for disease detection and seeding are less explored.
  • The review identified key areas for improvement in agricultural robotics.

Conclusions:

  • Further development of agricultural robotics is crucial for optimizing crop production.
  • Advancements in processing algorithms, inter-platform communication, and sensing systems are vital.
  • Increased research in disease detection and seeding robotics is recommended.