Lecturer at University of Rwanda, Rwanda
Dr. Martin Kuradusenge is a lecturer at the University of Rwanda’s College of Science and Technology, School of ICT, Department of Computer and Software Engineering. He holds a PhD in Internet of Things (Wireless Intelligent Sensor Network) from the University of Rwanda. Additionally, he earned a Master’s degree in Communications Management (2009) and a BSc. degree in Computer Engineering and Information Technology (2002) from the University of Rwanda (formerly Kigali Institute of Science and Technology). He also possesses a Postgraduate Certificate in Learning and Teaching in Higher Education from the University of Rwanda, College of Education.
Profile
🎓 Education:
PhD in Internet of Things (University of Rwanda), MSc in Communications Management, BSc in Computer Engineering and Information Technology.
🌍 Research:
Currently leads projects on IoT-based crop yield prediction and early warning systems for natural disasters. He has published extensively, notably on machine learning applications in agriculture and environmental management.
Research Focus Crop Yield:
Dr. Martin Kuradusenge’s research includes a focus on Crop Yield prediction using IoT and machine learning models. He applies these technologies to enhance agricultural productivity and food security, particularly in Rwanda. His work integrates data-driven approaches to optimize crop management and mitigate environmental risks affecting yields.
Citations:
- Total Citations: 158
- Citations Since 2019: 156
- h-index: 4
- i10-index: 3
📄 Publication:
- Crop yield prediction using machine learning models: Case of Irish potato and maize
- Published in Agriculture, 2023
- Rainfall-induced landslide prediction using machine learning models: The case of Ngororero District, Rwanda
- Published in International Journal of Environmental Research and Public Health, 2020
- Comparison of random forest and support vector machine regression models for forecasting road accidents
- Published in Scientific African, 2023
- Experimental Study of Site‐Specific Soil Water Content and Rainfall Inducing Shallow Landslides: Case of Gakenke District, Rwanda
- Published in Geofluids, 2021
- SMART-CYPS: An intelligent Internet of Things and Machine Learning powered crop yield prediction system for food security
- Risks Reduction of Rainfall-Induced Landslides-A Site-Specific Early Warning System (SSEWS)
- Published in ICT Systems and Sustainability, 2022
- Revolutionizing Coffee Farming: A Mobile App with GPS-Enabled Reporting for Rapid and Accurate On-Site Detection of Coffee Leaf Diseases Using Integrated Deep Learning
- Published in Software, 2024
- Predictive modelling and alert system for rainfall induced landslides
- Published by University of Rwanda (College of Science and Technology), 2022