The AIET Laboratory conducts qualitative and quantitate research in AI and other emerging technologies and has made significant contributions in machine learning, data analytics, telecom systems, visualization, IoTs, digital health systems, blockchain and many other areas.
Currently, farmers in Tanzania are faced with the challenge of predicting crop yields based on the climate conditions and their variability

This project investigate the aspects related to monitoring, management and prediction of crops performance in real-time at a farm level.

PI: Dr. Kadeghe Fue

CO-PI: Dr. Alcardo Alex Barakabitze, Prof. Camilius Sanga

Collaborators: Prof. Glen Rains, University of Georgia, USA

SmartTB system: Prediction of Diagnostic Accuracy using Big Data Analytics and Visualizations from Trained African Giant Pouched Rats for Tuberculosis Detection at SUA APOPO, May 2021 – April 2023

PI: Ms. Joan Jonathan

CO-PI: Dr. Alcardo Alex Barakabitze

PI: Dr. Alcardo Alex Barakabitze

CO-PI: Prof. Trung Q. Duong, Queen’s University Belfast, UK

Project Summary