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April 16, 2025

Farm robot autonomously navigates and harvests among raised beds

A farm robot using lidar shows it can harvest strawberries from a high-bed cultivation field. Credit: Osaka Metropolitan University
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A farm robot using lidar shows it can harvest strawberries from a high-bed cultivation field. Credit: Osaka Metropolitan University

Strawberry fields will forever exist for the in-demand fruit, but the laborers who do the backbreaking work of harvesting them might continue to dwindle. While raised, high-bed cultivation somewhat eases the manual labor, the need for robots to help harvest strawberries, tomatoes, and other such produce is apparent.

Osaka Metropolitan University Assistant Professor Takuya Fujinaga has developed an for robots to autonomously drive in two modes: moving to a pre-designated destination and moving alongside raised cultivation beds.

The Graduate School of Engineering researcher experimented with an agricultural robot that utilizes lidar point cloud data to map the environment. The findings were in Computers and Electronics in Agriculture.

Lidar, available on some high-end, pro-level smartphones and used by autonomous vehicles, uses light in as a remote sensing method. The farming robot can thus move accurately while maintaining a constant distance from the cultivation bed, with its effectiveness verified in virtual and actual environments.

"If robots can move around the more precisely, the range of tasks that they can perform automatically will expand, not only for harvesting, but also for monitoring for disease and pruning," Professor Fujinaga explained.

"My research shows a possibility, and once this type of agricultural robot becomes more practical to use, it will make a significant contribution to improving work efficiency and reducing labor, especially for high-bed cultivation."

More information: Takuya Fujinaga, Autonomous navigation method for agricultural robots in high-bed cultivation environments, Computers and Electronics in Agriculture (2025).

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An algorithm has been developed for agricultural robots to autonomously navigate and harvest crops like strawberries and tomatoes in raised beds. Utilizing lidar technology, the robot can accurately map its environment and maintain a constant distance from cultivation beds. This advancement could expand robotic tasks beyond harvesting to include monitoring and pruning, potentially improving efficiency and reducing labor in high-bed cultivation.

This summary was automatically generated using LLM.