Welcome to THE YEESI Lab
AN INNOVATION HUB FOR AGRITECH ENTREPRENEURS HOUSED BY EPAL
ARTIFICIAL
INTELLIGENCE
We design AI models to fetch useful information that would help farmers learn and achieve world-standard production in Tanzania
MACHINE
VISION
We design Machine Vision Models to help farmer understand the state of the crop and make data-driven decision.
mOBILe
APPLICATIONS
We design smartphone apps to help farmers achieve the most from the mobile-first software that can work offline
Our project lab received a high computing node from Lambda Labs on November, 4th, 2021. The master Quad AI workstation equipped with twin NVIDIA RTX A5000 with intel i9 18-cores processor running on massive 256GB RAM arrived in SUA's premises to support AI research efforts in Agriculture. This is the first modern GPU-installed node to have arrived at SUA. This server has been set to support YEESI Lab developers using JupyterHub. It can be accessed on (locally) http://10.10.97.236/hub/login or (globally) http://www.yeesi.sua.ac.tz
You are all welcome to explore AI work and support the state-of-the-art AI research in Agriculture.
We have configured the JupyterHub server to be shared by peers in our lab to train models.
Also, the e-Learning Portal was deployed at (globally) http://41.59.85.2:8390 and http://10.10.97.26:8390/ (locally in SUA's LAN) to share materials and knowledge in AI.
Recently, the lab developed a comprehensive student-centered curriculum for machine vision. The curriculum features Problem-based Learning courses such as Problem-solving and Program Design with Python, Introduction to Digital Agriculture, Mobile Application Development, Machine Learning in Agriculture, Machine Vision in Agriculture, and Entrepreneurship for Artificial Intelligence that will empower the youth of Morogoro on next-generation AI research and development.