- Subject: Free Topic (Food-organism utilization throughout the AI-based aquaculture industry)
- Home page: http:https://sarc.jnu.ac.kr/contest/20211105/
- Motivation:
- Stable mass feeding management of food organisms is importance of 'artificial seed culture' industry
- Problems cause serious economic loss in the aquaculture artificial seed production industry
- Reduction of aquaculture food organisms (plankton)
- Difficulty in managing mass culture/feeding of food organisms
- Mass mortality in the process of seed production
- Decreased utilization of food organisms by field
A sharp decline in marine food organisms (plankton) due to global warming and marine environmental pollution
- It is necessary to select and concentrate the government R&D AI data and technology to solve fundamental problems such as instability and low productivity in the aquaculture industry
- Team Name: ADLER
- Affiliation: Chonnam National University, South Korea
- Project Structure:
project
├── aquaculture
│ ├── app_v2
│ ├── apps
│ ├── assets
│ │ ├── cache
│ │ ├── data
│ │ │ └── final_info.csv <-- run cli_main.py data to create
│ │ └── models
│ ├── exps
│ ├── utils
│ ├── cli_main.py
│ └── common.py
│ └── ...
├── data
│ ├── a2i_data <-- pointer to <mnt/a2i_data>
│ ├── preprocessed
│ └── exps
├── images
└── mnt
└── a2i_data <-- copy or link to AI competition data
├── csv
│ ├── 10월01일
│ │ ├── 2-1-1-1-1-1001-0010000.csv
│ │ └── 2-1-1-1-1-1001-0020000.csv
│ ├── 10월04일
│ └── ...
└── 먹이생물
├── 10월01일
│ ├── 고성
│ │ ├── 2-1-1-2-2-1001-0120001.jpg
│ │ ├── 2-1-1-2-2-1001-0120002.jpg
│ │ └── ...
│ ├── 일해
│ │ ├── 2-1-1-2-2-1001-0110001.jpg
│ │ ├── 2-1-1-2-2-1001-0110002.jpg
│ │ └── ...
├── 10월04일
└── ...
- mnt/a2i_data : link or copy AI_competition data containing 2 folders: csv (sensor data), 먹이생물 (images data)
- Go to folder mnt
- Type command
# Linux
ln -s <path to AI_competition data> a2i_data
# Window
mklink /J a2i_data <path to AI_competition data>- data/a2idata: link to mnt/a2i_data
- Go to folder data
- Type command
# Linux
ln -s ../mnt/a2i_data
# Window
mklink /J a2i_data ../mnt/a2i_data- Setup Python Environments:
- Install Anaconda3 at https://www.anaconda.com/products/individual
- Activate environment base
# Linux
conda activate base
# Window
activate base- Install requirements packages at environment base
pip install -r requirements.txt - Activate environment base
- Go to project root
- Activate Environment base
- Type command
python aquaculture/cli_main.py app2 --app-type web (or app)- Go to project root
- Start jupyter-lab and run jupyter notebooks in aquaculture/exps
- 01_datapreprocess.ipynb
- 02_cell_counts.ipynb
- 03_data_analsyis.ipynb
- 04_tabnet_checking.ipynb