Agrex is an agricultural extension AI consultant. The application leverages the power of arge language models (LLMs) such as GPT-4 Omnibus and Llama 3, alongside frameworks like Xarray and NumPy, our solution offers farmers localized insights and recommendations at their fingertips. to provide farmers with actionable insights to optimize their agricultural practices.
The primary geographic focus is Africa. This specialization extends to providing predictions and insights (currently for the bean crop), aimed at enhancing understanding and decision- making. Additionally, the app aims to gather more data, with the intention of expanding its scope to include more crops.
- Clone the repository
- Run
streamlit run src/appstyled.py
DAAS aims to continue enhancing its capabilities, expanding beyond farming to support other sectors with climate-sensitive operations. Ongoing development will focus on refining the multi-agent system, improving model accuracy, and expanding the range of supported models, collecting more verified technique data and integrating with more relevant APIs.