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- SUGAYA Shuto
- Ritsumeikan University
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- AOYAMA Hiroya
- Ritsumeikan University
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- FUZITA Daichi
- Ritsumeikan University
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- ONOYAMA Hiroyuki
- Ritsumeikan University
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- FUKAO Takanori
- Ritsumeikan University
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- MATSUDA Ken
- Kunneppu Machine Industry
Bibliographic Information
- Other Title
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- デプスカメラを用いた収穫部の高さ制御によるタマネギ自動収穫
Abstract
<p>Recently, the labor shortage is becoming more serious because of decrease and aging of farmers in Japan. As a solution,therefore, the automation by agricultural robots is trying to expand the scale of management and labor saving. In order to automate harvesting, we use semantic segmentation, a method of deep learnig, to discriminate onion, soil, and others in pixel units. Then, the height of only the soil part detected using a depth camera is measured. Harvesting with high precision is performed by using the information to automate height control of the harvesting part. The usefulness is confirmed by some experiments.</p>
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (0), 1A1-A04-, 2020
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390849376474822144
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- NII Article ID
- 130007943149
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- ISSN
- 24243124
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed