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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.
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.
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.
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