The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2021
Session ID : 1P2-A04
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Vision-Based Behavior Strategy for Tomato Harvesting Robot (V)
-Estimation of total harvesting time using the tomato growth state map-
*Takuya FUJINAGAKazuo ISHII
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Abstract

This paper presents an estimation method of total harvesting time using the tomato harvesting robot developed in this study. In this robot, the occlusion ratio of obstacles to the target tomato is one of the factors for harvestability. The occlusion ratio was quantified, and the criteria for tomatoes that are easy for this robot to harvest was determined based on the results of the harvesting experiment. Using the tomato growth state map, the total harvesting time was estimated from the location data of the tomatoes that can be shipped with the occlusion ratio of 0.07 or less.

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© 2021 The Japan Society of Mechanical Engineers
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