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Welcoming A3I Program Participants: Showcasing Our Lab’s Research in Supporting Table Grape Berry Thinning and Harvesting

We are delighted to announce that our lab has had the privilege of hosting students from four prestigious universities as part of the “Asia Applied Artificial Intelligence (A3I): Real Problem Solving Driven Artificial Intelligence Education Program”. This program, adopted by the CAMPUS Asia Plus from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan, aims to promote cultural exchanges among participating universities.

Co-organized by the University of Yamanashi (Japan), Hangzhou Dianzi University (China), Pukyong National University (South Korea), and University Malaysia Perlis (Malaysia), the A3I program is conducted in English as the common language, fostering collaboration and connecting these four countries.

During the program, we had the opportunity to introduce our lab and showcase our cutting-edge research in supporting table grape berry thinning and harvesting. The demonstration mainly focused on our system, which utilizes deep neural networks and augmented reality technologies to enhance the efficiency and accuracy of table grape berry thinning. Additionally, we demonstrated our table grape harvesting grading system, which plays a vital role in ensuring the quality and uniformity of the harvested grapes. Lastly, we showcased our robot system designed for table grape berry thinning, which highlights the potential for automation in the agricultural industry.

We were thrilled to share our research with the students and exchange insights and ideas throughout the program. It was a great opportunity to collaborate with bright minds from different cultural backgrounds and gain new perspectives on AI-driven problem-solving.

We extend our sincere appreciation to the A3I program, the participating universities, and the students for their enthusiastic engagement. Their presence and contributions have enriched our research environment and further strengthened our commitment to advancing the application of artificial intelligence in agriculture.

Stay tuned for more updates on our ongoing research and future collaborations. We look forward to continued fruitful partnerships in the field of applied artificial intelligence.

Article on “Supporting Table Grape Berry Thinning with Deep Neural Network and Augmented Reality Technologies” Accepted in Computers and Electronics in Agriculture

We’re pleased to inform you that our paper, “Supporting Table Grape Berry Thinning with Deep Neural Network and Augmented Reality Technologies,” has been published in Computers and Electronics in Agriculture.

Authored by Prawit Buayai, Kabin Yok-In, Daisuke Inoue, Hiromitsu Nishizaki, Koji Makino, and Xiaoyang Mao, our research delves into the application of deep neural network and augmented reality technologies to assist in table grape berry thinning.

Published on August 27, 2023, our work contributes to the ongoing evolution of agricultural technologies. We particularly highlight the utilization of deep neural networks and augmented reality, fostering advancements in agricultural practices.

For a comprehensive understanding of our research, you can access the paper via this link.

We are grateful to all the researchers and supporters involved in this project. Our commitment remains steady in exploring and sharing new technologies in agriculture.

AiRcupid Paper Accepted into UNAI Workshop and ISMAR-Adjunct 2023: Supporting Cucumber Picking for Intellectual Disabilities with AI and AR

We are excited to share that our research paper titled “AiRcupid: Supporting Cucumber Picking for Intellectual Disabilities using Artificial Intelligence and Augmented Reality” has been accepted into the esteemed 3rd Workshop on University Augmented Interaction (UNAI) and the highly regarded 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).

Authored by Daisuke Inoue, Kaishi Naito, Prawit Buayai, and Xiaoyang Mao, our research introduces an innovative solution that combines the power of artificial intelligence (AI) and augmented reality (AR) to support individuals with intellectual disabilities in cucumber picking.

ISMAR2023 conference website

BerryScope Paper Accepted into IEEE ISMAR-Adjunct 2023: Enhancing Strawberry Picking with AR Technology

We are thrilled to announce that our paper titled “BerryScope: AR Strawberry Picking Aid” has been accepted into the prestigious 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Authored by Shun Tamura, Prawit Buayai, and Xiaoyang Mao, this research highlights our groundbreaking work in leveraging augmented reality technology to enhance strawberry harvesting.

Accepted on August 8, 2023, this achievement underscores our commitment to advancing the applications of augmented reality in the agricultural sector. Through the use of advanced computer vision techniques and augmented reality technologies, our team has developed an innovative solution to improve the efficiency and accuracy of strawberry picking.

ISMAR23 Conference URL

Shota Chiba receives Honorable Mention Award at NICOINT 2023

Shota Chiba, Zhenyang Zhu, Daisuke Inoue, Xiaoyang Mao, “Deep Learning and Augmented-Reality Glasses based Meat Cooking Support for Color Vision Disorder Compensation,” in the Proceedings of NICOGRAPH International 2023, Article L7, 2023-6. 【Detail】

11 students graduated from Maolab on March 23th 2023

TAKAHASHI Ryo (B4), KOBAYASHI Taketo (M2), TAMURA Shun (B4), ISOBE Daisuke (B4), MORITAKE Katsuhito (M2)
INOUE Daisuke (M2), DOHI Ayuna (B4), MAO Xiaoyang (Professor), BUAYAI Prawit (Assistant Professor), WOO Yan San (M2)

To appear: SHANMUGANATHAN Meerahshvin (M2), FUJISAWA Shunsuke (B4)

Ligeng Chen and Naohiko Ishikawa gave oral presentation at VC+VCC2022

Ligeng Chen, Zhenyang Zhu, Kentaro Go, Wangkang Huang, Xiaoyang Mao, “Swin Transformerを利用した色覚障がい支援用色変換手法”, Visual Computing シンポジウム, Article 41, 2022-10.

石川 直彦, 朱 臻陽, 茅 暁陽, “知覚サイズを反映した写真生成のための画像自動部分拡大方法”, Visual Computing シンポジウム, Article 42, 2022-10.