スマート農業ーSmart agriculture – 茅・朱・Buayai研究室

Abstract

Bunch shape and berry size indicate the quality of table grapes and crucially affect their market value. Berry thinning is one of the most important tasks in grape cultivation to achieve an ideal bunch shape and to make sufficient space for individual berries. A successful practice by skilled grape farmers in Japan is using the number of berries in a bunch to guide the thinning process; hence, a technique for automatically counting the number of berries in a working bunch has been long desired by farmers to improve the efficiency of the thinning task. This research presents a novel end-to-end berry-counting technique based on a deep neural network (DNN), and its contributions are as follows. First, because a DNN requires massive training data, a novel data augmentation technique simulating the thinning process is proposed. Second, a new location-sensitive object detection model that integrates explicit location information and supplementary classification loss into a state-of-the-art instance segmentation model was proposed for detecting the number of berries in a working bunch with a high accuracy. Third, a set of features, together with their extraction algorithms, is designed for predicting the number of berries in a bunch (3D counting) using the berries detected on a single 2D image. Experiments using data collected from farmers’ grape-thinning process have been conducted to validate the accuracy and effectiveness of the proposed methods.

Publications

Prawit Buayai, Kabin Yok-In, Daisuke Inoue, Chee Siang Leow, Hiromitsu Nishizaki, Koji Makino, Xiaoyang Mao, “End-to-End Inflorescence Measurement for Supporting Table Grape Trimming with Augmented Reality,” Cyberworlds, 2021-9. https://doi.org/10.1109/CW52790.2021.00022.
Daisuke Inoue, Prawit Buayai, Hiromitsu Nishizaki, Koji Makino, Xiaoyang Mao, “Supporting Vine Vegetation Status Observation Using AR” Cyberworlds, 2021-9. https://doi.org/10.1109/CW52790.2021.00033.
Prawit Buayai, Kanda Runapongsa Saikaew, and Xiaoyang Mao. 2020. “End-to-End Automatic Berry Counting for Table Grape Thinning.” IEEE Access. https://doi.org/10.1109/ACCESS.2020.3048374.

Patents

摘粒案件（P22-001、特願2022-003201　2022/1/12出願）
【発明の名称】情報処理装置、システム、プログラム、及び情報処理方法
茅　暁陽、ブアヤイ　プラウィット、横澤　浩樹、根本　陽平
房づくり案件（P21-031　特願2021-203363　2021/12/15出願）
【発明の名称】情報処理装置、プログラム、システム、及び情報処理方法
茅　暁陽、ブアヤイ　プラウィット、横澤　浩樹、根本　陽平

Abstract

Publications

Patents

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