Data Science Africa announced a call to support research addressing local challenges in Africa in August 2020.
Name
Title
Institution
Country
Dr. Godliver Owomugisha
Early detection and diagnosis of crop diseases in asymptomatic plants: acquisition and machine learning analysis of spectral data.
Makerere University
Uganda
Prof. Mohamed A. ElHelw
Rice Plant Disease Detection and Diagnosis using Deep Convolutional Neural Networks and Hyperspectral Imaging.
Nile University
Egypt
Mr. Andualem Aklilu
Combining Data science and Remote Sensing for Highland Wheat Yield Prediction Under Resource limited Ethiopian Agricultural Set-up.
Ethiopian Space Science and Technology Institute, Addis Ababa University
Ethiopia
Mr. Bramwel Waswa Wanjala
Development of rapid assay for the on-site detection of capripoxvirus.
Kenya Agricultural and Livestock Research Organization (Biotechnology Research Institute)
Kenya
Dr. Inger Fabris-Rotelli
An informal road detection neural network for societal impact in developing countries.
Department of Statistics, University of Pretoria
South Africa
Dr. Segun Adebayo
Understanding Fruit Bat Movement Pattern Leveraging on Radio Telemetry and Data Analytics
Bowen University
Nigeria
Mr. Houégnon Géraud Vinel Gbewezoun
Contribution of Internet-of-Things, Machine Learning and Remote Sensing for improving groundwater assessment in a semi-arid region (north-eastern Benin)
