京都大学「社会的共通資本と未来」寄付研究部門のスタディーツアーにて、拡張生態系についてブラジリア大学とサンパウロ大学で舩橋真俊が講演しました。
社会的共通資本に関するスタディーツアーにて講演
カテゴリー別アーカイブ: Conference
都市とアートとイノベーション-創造性とライフスタイルが描く都市未来
森ビル主催の Inter City Forum 10年間の記録書籍「都市とアートとイノベーション 創造性とライフスタイルが描く都市未来」に、舩橋真俊が参加した2017年及び2019年のセッションの様子が収録されています。
Presentation at IEEE RO-MAN 2024
The following paper was presented at the 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN) held in August 26-30, 2024, at Pasadena, CA, USA.
| Locating the Fruit to Be Harvested and Estimating Cut Positions from RGBD Images Acquired by a Camera Moved Along Fixed Paths Using a Mask-R-CNN Based Method |
| Zhao, Wentao (Waseda University), Otani, Takuya (Shibaura Institute of Technology), Sugiyama, Soma (Waseda University), Mitani, Kento (Waseda University), Masaya, Koki (Waseda University), Takanishi, Atsuo (Waseda University), Aotake, Shuntaro (Waseda University), Funabashi, Masatoshi (SonyCSL/Kyoto University), Ohya, Jun (Waseda University) |
| Keywords: Degrees of Autonomy and Teleoperation, Machine Learning and Adaptation Abstract: Compared to traditional agricultural environments, the high density and diversity of vegetation layouts in Synecoculture farms present significant challenges in locating and harvesting occluded fruits and pedicels (cutting points). To address this challenge, this study proposes a Mask R-CNN-based method for locating fruits (tomatoes, yellow bell peppers, etc.) and estimating the pedicels from RGBD images acquired by a camera moved along fixed paths. After obtaining masks of all fruits and pedicels, this method judges the matching relationship between the located fruit and pedicel according to the 3D distance between the fruit and pedicel. Subsequently, this research determines the least occluded best viewpoint for harvesting based on the visible real areas of located fruits in images acquired under the fixed paths, and harvesting is then completed from this best viewpoint following a straight path. Experimental results show this method effectively identifies occluded targets and their cutting positions in both Gazebo simulation environments and real-world farms. This method can select the least occluded viewpoint for a high harvesting success rate. |
Lancement du Projet « Résilience climatique locale par la synécoculture, technique agricole à haut rendement dans la région du Nord du Cameroun, principalement dans les communes de Garoua II (Bénoué) et à Figuil (Mayo- Louti) »
Le projet a été lancé le 3 juillet 2024, en partenariat avec des acteurs techniques tels que le Ministère de l’Environnement, de la Protection de la Nature et du Développement Durable (MINEPDED), le Ministère de l’Agriculture et du Développement Rural (MINADER), ainsi que le Ministère de l’Éducation de Base (MINEDUB), qui intègrera le projet à travers l’introduction de la synécoculture dans les jardins scolaires.
Ce projet formera 500 producteurs agricoles (femmes, hommes, jeunes) aux pratiques synécoculturales, sous l’encadrement du CARFS (Centre Africain de Recherche et de Formation en Synécoculture) répartis équitablement entre 250 à Garoua II et 250 à Figuil. Un comité de pilotage de 8 à 10 membres sera mis en place, comprenant un représentant de la communauté de Garoua II et un autre de Figuil.
Un guide pratique sur l’agriculture synécoculturelle sera élaboré, destiné aux jeunes élèves et comprenant un recensement des bonnes pratiques. Soixante élèves seront sélectionnés pour mettre en œuvre des jardins scolaires dans six établissements, répartis entre 4 jardins utilisant des méthodes agricoles conventionnelles et 2 jardins basés sur des techniques synécoculturelles. Il y aura ainsi trois jardins à Garoua II et trois à Figuil, dont un jardin expérimental en synécoculture dans chaque commune.
Information de base:
Assistance technique : Promotion des techniques de Synécoculture pour renforcer la résilience climatique et améliorer la sécurité alimentaire dans le nord du Cameroun
Localisation : Garoua et Figuil, Région Nord, Cameroun
Solution : Techniques de Synécoculture pour une agriculture durable
Subvention PNUE CTCN : 175 000 USD
Basic Information:
Technical Assistance: Promoting Synecoculture Techniques to Build Climate Resilience and Improve Food Security in Northern Cameroon
Location: Garoua and Figuil, North Region, Cameroon
Solution: Synecoculture Techniques for Sustainable Agriculture
UNEP CTCN grant: USD 175,000
Presentation at CILSS Pavilion in Expo 2023 Doha
Masa Funabashi presented Synecoculture as a part of the events at the CILSS Pavilion during Expo 2023 in Doha, Qatar.
Presentazione alla S.I.Di.L.V
Masa Funabashi ha presentato il seminario della SIDilV (Società Italiana di Diagnostica di Laboratorio Veterinaria):
La registrazione del webinar è disponibile sulla pagina web per i membri abbonati.
Presentation at UNFCCC-COP28 Japan Pavilion
At the 28th Conference of the Parties (COP28) to the United Nations Framework Convention on Climate Change (UNFCCC) being held in Dubai from 30 November to 12 December 2023, Masatoshi Funahashi who is Research Director at Sony CSL and also President of SynecO, Inc., participated in a seminar held in the Japan Pavilion. He spoke about the initiatives of SynecO and on activities related to Synecoculture.
Presentation at G7 Alliance on Nature Positive Economies
Masa Funabashi, President and Representative Director of SynecO, Inc., presented on Synecoculture and Augmented Ecosystems at a workshop of G7 Alliance on Nature Positive Economies.
Presentations at EcoSummit 2023, Gold Coast
The following presentations were presented at EcoSummit 2023 held in Gold Coast, Australia, on 13-17 June 2023.
-Oral Presentation: Masatoshi Funabashi “Synecoculture experiments: Human Augmentation of Ecosystems.”
-Poster Presentation: Kousaku Ohta, Tomoyuki Minami, and Masatoshi Funabashi “CSR ecological strategies to evaluate the community responses under controlled environmental gradient in augmented ecosystems.”
Presentations at CCE’23
Masatoshi Funabashi , Sony CSL senior reseacher, presented two research papers at the Complex Computational Ecosystems 2023 in Baku, Azerbaijan, and one of them received the Best Non-Student Presentation Award.
■ [Best Non-Student Presentation Award ] “Vegee Brain Automata: Ultradiscretization of essential chaos transversal in neural and ecosystem dynamics” (Masatoshi Funabashi)
Get the final version manuscript here.
■“Modeling ecosystem management based on the integration of image analysis and human subjective evaluation – Case studies with synecological farming” （Shuntaro Aotake, Atsuo Takanishi, Masatoshi Funabashi）
Get the final version manuscript here.
Both papers have been published in Springer Lecture Notes in Computation Science.