書誌事項
- タイトル別名
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- Automatic Onion Harvesting by Height Control of Harvesting Part with a Depth Camera
抄録
<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>
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2020 (0), 1A1-A04-, 2020
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390849376474822144
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- NII論文ID
- 130007943149
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- ISSN
- 24243124
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可