書誌事項
- タイトル別名
-
- Development of an automatic tomato harvesting robot by deep learning using a universal vacuum gripper
抄録
In recent years, the number and average age of agricultural workers have increased; the development of new methods in agriculture, utilizing robot technology and ICT, is expected. This study proposes an automatic tomatoharvesting system that combines fruit-image recognition and deep learning, which has been remarkably developed in recent years; a harvesting device that uses the universal vacuum gripper has also been proposed. To validate the proposed system, harvesting experiments were conducted on a single fruit and on a collection of fruits. In the former case, robotic harvesting achieved a success rate of 93%. The results validate the feasibility of the fruit-position-estimation system.
収録刊行物
-
- 北陸信越支部総会・講演会 講演論文集
-
北陸信越支部総会・講演会 講演論文集 2020.57 (0), S021-, 2020
一般社団法人 日本機械学会
- Tweet
キーワード
詳細情報
-
- CRID
- 1390849376474752256
-
- NII論文ID
- 130007943133
-
- ISSN
- 24242772
-
- 本文言語コード
- ja
-
- データソース種別
-
- JaLC
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可