Presentation | 2022-03-03 Building a Grape Grain Detection Model for Table Grape Thinning Chisato Matsumoto, Ko Fujimura, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper addresses the issue of counting grape berries from camera images to support the process of thinning grapes. In the process of deep learning, labeled data is needed to recognize fruit grains, but no data on table grapes is disclosed. Therefore, we constructed the data for this purpose. In addition, using this data, mask R-CNN and Detectron2 were applied and evaluated in comparison with the conventional circle detection method. As a result of the experiment, the method using deep learning obtained higher detection accuracy than the circle detection. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Smart agriculture / table grape thinning / grape detection / deep learning / Mask R-CNN / Detecton2 |
Paper # | LOIS2021-40 |
Date of Issue | 2022-02-24 (LOIS) |
Conference Information | |
Committee | LOIS |
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Conference Date | 2022/3/3(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Toru Kobayashi(Nagasaki Univ.) |
Vice Chair | Hiroyuki Toda(NTT) |
Secretary | Hiroyuki Toda(Nagasaki Univ.) |
Assistant | Kazuki Fukae(Nagasaki Univ.) |
Paper Information | |
Registration To | Technical Committee on Life Intelligence and Office Information Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Building a Grape Grain Detection Model for Table Grape Thinning |
Sub Title (in English) | |
Keyword(1) | Smart agriculture |
Keyword(2) | table grape thinning |
Keyword(3) | grape detection |
Keyword(4) | deep learning |
Keyword(5) | Mask R-CNN |
Keyword(6) | Detecton2 |
1st Author's Name | Chisato Matsumoto |
1st Author's Affiliation | Otsuma Women's University(Otsuma Women's Univ.) |
2nd Author's Name | Ko Fujimura |
2nd Author's Affiliation | Otsuma Women's University(Otsuma Women's Univ.) |
Date | 2022-03-03 |
Paper # | LOIS2021-40 |
Volume (vol) | vol.121 |
Number (no) | LOIS-401 |
Page | pp.pp.1-6(LOIS), |
#Pages | 6 |
Date of Issue | 2022-02-24 (LOIS) |