Summary
International Workshop on Smart Info-Media Systems in Asia
2022
Session Number:SS2
Session:
Number:SS2-4
Development of a COG Detection Method for Tomato Harvesting Using Point Cloud Data
Riku Fukuda, Yasunori Takemura,
pp.79-84
Publication Date:2022/9/15
Online ISSN:2188-5079
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Summary:
Currently, agriculture in Japan is facing major problems such as a declining and aging workforce. Therefore, many engineering approaches are being developed for smart agriculture with the goal of improving efficiency. In this study, we report the development of an algorithm to identify the center of gravity of tomatoes for automatic harvesting by robots. In this paper, the center of gravity is determined by using the normal from the point cloud obtained from the RGB-D camera. In addition, the accuracy of the algorithm is verified on tomatoes in bunches as an experiment.