About Us

Moto: Mainstreaming Climate Change Adaptation into the coffee sector in Rwanda to ensure the future of the coffee supply chains.

University of Rwanda, College of Science and Technology, School of ICT and Sciences, are engaged in using emerging technologies and biological contexts to support the community in modernizing current working principles. In collaboration with RAB and coffee washing cooperatives, we are working to integrate IT tools into the coffee farming sector in Rwanda.

The research team is an interdisciplinary group focusing on the synergy between Intelligence (AI, Computer Vision, Graphics, and Multimedia), Systems (Data platforms and Analytics, programming languages, software engineering, security, privacy, and cryptography, systems, and networks), and Theory (Mathematical modeling and algorithms). The group also connects to other sciences such as Agriculture, Medical, Health, Social Sciences, and Cultural Heritage to create novel human-computer interfaces.

Our Stories

Rwanda Smart Coffee, AI-Research Lab

CSE_AI Research Lab is a collaborative transdisciplinary, diverse team of data scientists and researchers dedicated to using IoT, AI, Machine Learning, and statistical modeling to tackle some of humanity’s greatest challenges. The research group specializes in applying artificial intelligence and data science including, for example, methods from machine learning, computer vision, IoT, and predictive analytics to problems in Rwanda.

Our Vision

To become a central engine of execution helping to alleviate traditional bottlenecks which have constrained scale and growth for hundreds of years.

Our Mission

To advance artificial intelligence research to solve real-world challenges.

Our Vision

To become a central engine of execution helping to alleviate traditional bottlenecks which have constrained scale and growth for hundreds of years.

To investigate and discuss recent real-world problems that need IT solutions.

To mobilize the CST students from early levels to have skills in software problem-driven solutions.

To interact and cooperate with CST schools and department staff to investigate problems that need solutions.

To collaborate with cooperatives and individuals for joint venturing by providing solutions.

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Ongoing Coffee Research

Coffee related Fact Sheets

Bacterial blight

Water-soaked spots on leaves which dry out and become brown and necrotic with yellow halos; necrosis of shoot tips which... Read more

Coffee leave rust

Identification, symptoms, and damage Young lesions may appear as small chlorotic spots before sporulation occurs. Yellow to orange powdery blotches appear... Read more

Coffee berry borer

Fruit dropping from plants; small holes may be evident on red cherries; when the insect is feeding, debris is pushed... Read more

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Get In Touch

Kiyovu, Kigali, Rwanda

+250 788 814 175

info@rwandasmartcoffee.rw/e.hitimana@ur.ac.rw

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