Image processing for agriculture.
By Laboratory of Field Phenomics, Graduate School of Agricultural and Life Sciences, The University of Tokyo.
Lab homepage
NOTE:

なぜGooglecolab？
Pythonの環境構築不要なGPUも使えるWebサービス（基本無料）

Applications of Image analysis for agriculture.
資料Slides

Fundamentals of image analysis(Vectors and matrices operation)

1. Googlecolab_fundamentals_1
   
   
2. Googlecolab_fundamentals_2
   
   

Fundamentals of image analysis(Undstand Digital images and Preprocessing)

1. Googlecolab_fundamentals_3
   
   
2. Googlecolab_fundamentals_4
   
   
3. Googlecolab_fundamentals_5
   
   

Image analysis for agriculture: Segmentation use Machine learning

Image analysis for agriculture: Deep learning
Demo1:
Example:雑草識別モデル (Weed recognization demo)
Demo2:
Example:ムギ穂検出モデル(wheat head detection)
PyTorch vs TensorFlow in 2024: A Comparative Guide of AI Frameworks

1. Study_CNN_Explainer (modified with weed dataset)
   original version from Here: Zijie J. Wang et al., 2020.

2. 初心者のための TensorFlow 2.0 入門

3. 畳み込みニューラルネットワーク (Convolutional Neural Networks)

4. TensorFlow2 for beginner
   
   

5. Image classification
   
   
   

6. Data visualization
   
   

7. Object detection
   
   

8. Semantic Segmentation_1 VegAnn
   
   

9. Semantic segmentation_2 DeeplabV3+
   
   

Image analysis for agriculture: Multi-dimensional imaging

Data collection

1. UAVPP, Breeder-Friendly-Plant-Phenotyping-tools for UAV, Wiki page.　　
2. UGVPP, field phenotyping rover, homepage.

1. 参考資料：
   1.1 UAS-Based Plant Phenotyping for Research and Breeding Applications
2. 練習用データ：Sugarbeet_30m
3. ソフトウェア：PREPs: Precision Plots Analyser for breeding field

1. Dataset
   1.1. Weed discrimination dataset
   1.2. roboflowPublickDtaset
2. Try playing with the weed discrimination model(Classification)
   2.1. Use Google Teachable Machine
   2.1.1 Try to use the model made from the Google Teachable machine
   
   2.2. Use Google colab
   
   
   

1. ドローン画像からのキクイモの表現型定量
   
   

1. Yann LeCun 深層学習コース(多言語資料あり->2024アクセス不能)
2. Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey
3. AIセミナー"深層学習を使ったキュウリ選別機つくってみた" (a farmer made his own Cucumber ranking machine)
4. Youtube: Farmer live camera in　鹿児島
5. Youtube：おすすめ深層学習入門動画(videos introduce Deep learning in Japanese)
6. Youtube：The Future of Farming
7. Youtube：Drones, robots, and super sperm – the future of farming
8. 農林水産省：スマート農業
9. 農林水産省：農業DX構想
10. 九州大学3Dデジタル生物標本