| Presentation | 2023-03-16 Pear flower pollination path estimation using deep learning and combinatorial optimization Keita Endo, Tomotaka Kimura, Hiroyuki Shimizu, Tomohito Shimada, Akane Shibasaki, Yoshihiro Takemura, Takefumi Hiraguri, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Since fruit trees are grown outdoors, they require heavy and long hours working. In among fruit trees, pears needs artificial pollination, and labor saving is required. In this study, we propose the pollination systems that sprays pollen to pear flowers using a drone. In the proposed scheme, the drones takes an aerial image of the entire pear field from above, and by segmentation using deep learning, the range of the field and the space where the drone can fly are detected from the aerial image. Based on the detected results, image processing and combinatorial optimization are used to estimate the optimal route for autonomous flight that enables pollination work. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Smart agriculture / Deep learning / Drones / Image analysis / Segmentation |
| Paper # | CQ2022-95 |
| Date of Issue | 2023-03-08 (CQ) |
| Conference Information | |
| Committee | IMQ / IE / MVE / CQ |
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| Conference Date | 2023/3/15(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawaken Seinenkaikan (Naha-shi) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc（AC） |
| Chair | Kenya Uomori(Osaka Univ.) / Kazuya Kodama(NII) / Kiyoshi Kiyokawa(NAIST) / Jun Okamoto(NTT) |
| Vice Chair | Mitsuru Maeda(Canon) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) / Sumaru Niida(KDDI Research) / Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) |
| Secretary | Mitsuru Maeda(Nagoya Univ.) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(KDDI Research) / Sumaru Niida(Nagoya Inst. of Tech.) / Takefumi Hiraguri(NAIST) / Gou Hasegawa(DNP) |
| Assistant | Masato Tsukada(Univ. of Tsukuba) / Takashi Yamazoe(Seikei Univ.) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Hidehiko Shishido(Univ. of Tsukuba) / Atsushi Nakazawa(Kyoto Univ.) / Naoya Tojo(KDDI Research) / Naoki Hagiyama(NTT) / Kimiko Kawashima(NTT) / Ryo Nakamura(Fukuoka Univ.) / Toshiro Nakahira(NTT) / Kenta Tsukatsune(Okayama Univ. of Science) |
| Paper Information | |
| Registration To | Technical Committee on Image Media Quality / Technical Committee on Image Engineering / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pear flower pollination path estimation using deep learning and combinatorial optimization |
| Sub Title (in English) | |
| Keyword(1) | Smart agriculture |
| Keyword(2) | Deep learning |
| Keyword(3) | Drones |
| Keyword(4) | Image analysis |
| Keyword(5) | Segmentation |
| 1st Author's Name | Keita Endo |
| 1st Author's Affiliation | Nippon Institute of Technology(NIT) |
| 2nd Author's Name | Tomotaka Kimura |
| 2nd Author's Affiliation | Doshisha University(Doshisha Univ.) |
| 3rd Author's Name | Hiroyuki Shimizu |
| 3rd Author's Affiliation | Nippon Institute of Technology(NIT) |
| 4th Author's Name | Tomohito Shimada |
| 4th Author's Affiliation | Saitama Agricultural Technology Research Center(SATRC) |
| 5th Author's Name | Akane Shibasaki |
| 5th Author's Affiliation | Saitama Agricultural Technology Research Center(SATRC) |
| 6th Author's Name | Yoshihiro Takemura |
| 6th Author's Affiliation | Tottori University(Tottori Univ.) |
| 7th Author's Name | Takefumi Hiraguri |
| 7th Author's Affiliation | Nippon Institute of Technology(NIT) |
| Date | 2023-03-16 |
| Paper # | CQ2022-95 |
| Volume (vol) | vol.122 |
| Number (no) | CQ-438 |
| Page | pp.pp.74-77(CQ), |
| #Pages | 4 |
| Date of Issue | 2023-03-08 (CQ) |