[1F3-OS-17a] 農業とAI(1)

Tue. Jun 4, 2019 3:20 PM - 5:00 PM Room F (302B Medium meeting room)

小林一樹（信州大学）、竹崎あかね（農研機構革新工学センター）

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3:20 PM - 3:40 PM

[1F3-OS-17a-01] (Invited talk) Issues of field high throughput plant phenotyping based on images

〇Seishi Ninomiya¹ (1. University of Tokyo)

3:40 PM - 4:00 PM

[1F3-OS-17a-02] Bird Damage Prevention System Utilizing Deep Learning based on Birds' Behavior

〇Kazuki Kobayashi¹, Fumiya Shimobayashi¹, Kazunori Terada², Takefumi Yoshikawa³, Hiroyuki Sato⁴, Hiroyuki Tsuchiya⁴, Kanokwan Atchariyachanvanich⁵ (1. Shinshu University, 2. Gifu University, 3. Toyama Prefectural University, 4. Marimo Electronics Co., Ltd., 5. Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Thailand)

4:00 PM - 4:20 PM

[1F3-OS-17a-03] Training Data Augmentation for Hidden Fruit Image Segmentation by using Deep Learning

〇Ryoma Takai¹, Kazuki Kobayashi¹ (1. Shinsyu University)

4:20 PM - 4:40 PM

[1F3-OS-17a-04] Q-learning with Neural Network for Automatic Irrigation Control of Crops

〇Shuto Namba¹, Junpei Tsuji¹, Masato Noto¹ (1. Kanagawa University)

4:40 PM - 5:00 PM

[1F3-OS-17a-05] Crop Yield Estimation for Hydroponic Tomatoes using regional CNNs

〇Yuri Isoyama¹, Fumiyo Emura¹, Hirohisa Satoh¹, Takashi Shinozaki^2,3 (1. Kyowa Co., Ltd., 2. Japanese Society for Artificial IntelligenceCiNet, National Insitute of Information and Communications Technology, 3. Graduate School of Information Science and Technology, Osaka University)

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