Data Science Africa announced a call to support research addressing local challenges in Africa in August 2020.
Early detection and diagnosis of crop diseases in asymptomatic plants: acquisition and machine learning analysis of spectral data.
Rice Plant Disease Detection and Diagnosis using Deep Convolutional Neural Networks and Hyperspectral Imaging.
Combining Data science and Remote Sensing for Highland Wheat Yield Prediction Under Resource limited Ethiopian Agricultural Set-up.
Development of rapid assay for the on-site detection of capripoxvirus.
An informal road detection neural network for societal impact in developing countries.
Understanding Fruit Bat Movement Pattern Leveraging on Radio Telemetry and Data Analytics
Contribution of Internet-of-Things, Machine Learning and Remote Sensing for improving groundwater assessment in a semi-arid region (north-eastern Benin)
Overcoming Open Learning Recession using Analytics and Machine Learning
Text Mining of Social Media Luganda Data to Track Misinformation and Perceptions Related to COVID-19 Transmission Mitigation Strategies
Modelling the preferred route of desert locust: A neural network approach