This is the repository for GEMINI Framework back-end.
Many staple crops that are important for food, nutritional, and economic security in low- and middle-income countries have not experienced the same large gains in yield and quality over last decades as crops such as maize and soybean. Further, these crops are faced with increasing risk and uncertain growing conditions due to climate change. This project aims to develop a state-of-the-art breeding toolkit, building on the latest techniques in AI-enabled sensing, 3-D crop modeling, and molecular breeding, to create an inflection point in the productivity and quality curves of crops that are central in LMICs.
More details about GEMINI Here
- Windows, Unix and MacOS (x86 and Apple Silicon)
- Local Installation of PostgreSQL Database
- Docker Engine
- Minimum 16GB RAM
- Minimum 256GB storage
- Python >=3.8
- Task
Install all the prerequisites above before continuing
Clone the repository and enter the root foler
$ git clone https://github.com/GEMINI-Breeding/gemini-framework.git
$ cd gemini-framework
Add a .env file in the root folder
Check .env.example in the root folder for all environment variables
NOTE: You can also rename .env.example to .env
If task is installed then just run task
$ task
Install the package for use locally
$ pip install -e .
WARNING: Make sure you are installing the package while the environment you are working with is activated.