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Development of Location-Data-Based Orchard Passage Map Generation Method.

Joong-Hee Han1, Chi-Ho Park1, Young Yoon Jang2

  • 1Division of Electronics and Information System, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea.

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Autonomous speed sprayers enhance orchard safety by reducing accidents. This study developed an economical autonomous driving system using minimal sensors and an orchard passage map for efficient navigation.

Keywords:
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Area of Science:

  • Agricultural Engineering
  • Robotics
  • Autonomous Systems

Background:

  • Pesticide application via speed sprayers poses significant safety risks, including worker poisoning and vehicle accidents.
  • Autonomous driving technology offers a promising solution to mitigate these safety concerns in agricultural operations.
  • Commercialization requires economically viable autonomous solutions with minimal sensor requirements.

Purpose of the Study:

  • To develop an economically efficient autonomous driving system for speed sprayers.
  • To create an orchard passage map using existing positioning sensor data for autonomous navigation.
  • To generate autonomous driving paths for various operational segments, including work and return routes.

Main Methods:

  • Developed an orchard passage map by merging manually driven paths using location data from positioning sensors.
  • Utilized the orchard passage map to generate autonomous driving paths without additional sensor installations.
  • Introduced a method for creating specific autonomous paths for work start, work execution, and return points.

Main Results:

  • Successfully created an orchard passage map using only location data from standard positioning sensors.
  • Demonstrated the feasibility of generating autonomous driving paths based on the developed map.
  • Established a method for path generation applicable to the entire autonomous operation cycle.

Conclusions:

  • An economically efficient autonomous speed sprayer can be developed using a minimum sensor set and a map-based approach.
  • The proposed orchard passage map creation method enables autonomous navigation without costly additional sensors.
  • This technology has the potential to significantly improve safety and efficiency in agricultural pest control operations.