Kuradusenge Martin | Crop Yield | Best Researcher Award

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Dr  Kuradusenge  Martin |  Crop Yield  |  Best Researcher Award

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
    • Published in 2024
  • 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

 

Khalid Hussain | Crop Production | Best Researcher Award

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Assoc Prof Dr  Khalid Hussain | Crop Production |  Best Researcher Award

Associate Professor at  University of Agriculture Faisalabad, Pakistan

Dr. Khalid Hussain is an accomplished agronomist and academician currently serving as an Associate Professor at the University of Agriculture, Faisalabad, Pakistan. With a robust academic background, he completed his PhD in Agronomy from the University of Hohenheim, Germany, focusing on resource use competition in agricultural systems. Dr. Hussain’s research spans various facets of agronomy, including crop-soil interactions, climate change impacts on cropping systems, and sustainable agricultural practices. He has authored numerous publications in reputed journals and actively contributes to international research collaborations. His expertise also extends to project management and capacity building in agriculture, supported by prestigious grants and awards, including recognition as Best Researcher by the HEC-Pakistan. Dr. Hussain is a member of several professional societies and continues to advance agricultural science through his teaching, research, and outreach initiatives.

Profile:

🎓 Education:

Ph.D. in Agronomy, University of Hohenheim, Stuttgart, Germany (2015). M.Sc. (Hons.) Agronomy, University of Agriculture, Faisalabad, Pakistan (2007). B.Sc. (Hons.) Agronomy, University of Agriculture, Faisalabad, Pakistan (2005)

📊 Skills:

Strong analytical and technical skills in research planning, data analysis, and project management. Proficient in MS Office, data modeling, and machine learning applications.

Publication Top Notes:

  • Constructed wetlands as a sustainable technology for wastewater treatment with emphasis on chromium-rich tannery wastewater
  • Sustainable Soil Loss Management in Tropical Uplands: Impact on Maize-Chili Cropping Systems
  • The potential of microbes and sulfate in reducing arsenic phytoaccumulation by maize (Zea mays L.) plants
  • Productivity and Resource Use in a Maize-Grain Legume Intercropping System in Punjab, Pakistan
    • Journal: International Journal of Agriculture and Biology
    • Date: January 21, 2021
  • Sustainable land use options for optimum resources use in maize based cropping system on uplands of Western Thailand