Here is a list of Grants, Awards and Recorginitions received.
- August , 2022 - Artificial Intelligence for Agriculture and Food Systems Innovations Research Network. Title: "Scaling Smartphone-Based Tools for Early Crop Disease Detection & Monitoring" Duration: 18 months.
- August , 2022 - Data Science Africa (DSA) research grant. “Development of 3-D smartphone add-on spectrometer for field-based early detection of disease”. Duration: 1 year, PI - Ongoing
- July , 2022 - Erasmus+ KA171 project. The project is aimed to forrester academic and research between students and staff from Bustema and Makerere University to University of Twente. Partners: University of Twente (Lead), Busitema University, Makerere University. Duration: 2022 - 2025.
- June , 2022 - The Royal Academy of Engineering “Advancement of Occupational Safety, Health and Environment (OSHE) Knowledge and Skills in Uganda’s Higher Educational Institutions and Industrial Sectors”. Institutions: Makerere University (Lead), Kyambogo University, Busitema University. Duration: 2022 - 2022. Role: Team Member, Busitema University hub.
- July , 2021 - Google AI for Social Good 2021. “Adoption of smartphone agro-applications for field-based disease diagnosis and real-time feedback for smallholder farmers”. Duration: 1 year, PI - Completed
- January , 2021 - Best PhD Engineering Thesis Award 2020 The thesis was selected on this criteria: Scientific quality and impact, Long term societal impact and Interdisciplinary connections
- November , 2020 - Lacuna Research Fund. “Machine Learning Datasets for Crop Pest and Disease Diagnosis: Crop Imagery and Spectrometry Data”. Role: Lead Spectrometry Data - Completed
- August , 2020 - Data Science Africa (DSA) research grant . Title: "Early detection and diagnosis of crop diseases in asymptomatic plants: acquisition and machine learning analysis of spectral data"
- September , 2019 - Third winner. Uganda Biotechnology and Biosafety Consortium (UBBC) 2019. Certificate of Exemplary Innovation for Developing a low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases prior to visible symptoms.