Stakeholder Journeys for Smarter Poultry Health Monitoring
The system is designed to support farmers, veterinarians, and technology partners in different but complementary ways.
How each stakeholder benefits
For farmers
Farmers can monitor flock health continuously, receive timely alerts, and respond earlier without relying only on visual checks.
For veterinarians
Veterinarians receive an additional signal that helps them focus attention on farms that may need prompt intervention.
For technology partners
Agri-tech and IoT partners can integrate the compact model into devices and farm software to expand their services.
Founders and research leads
Ishami Kwisanga Andric
Co-founder & Technical Lead
He contributes expertise in machine learning, deployment, and practical AI systems for real-world agricultural use.
Kyomuhendo Sumayah
Co-founder & AI Engineer
She brings experience in machine learning, software engineering, and building solutions for automation and health monitoring.
Ggaliwango Marvin (PhD)
Strategic Advisor
He provides research mentorship and guidance on responsible AI, intelligent systems, and the broader technology roadmap.
Emmanuel Mugejjera (PhD)
Co-Investigator
He is a lecturer at Makerere University with more than 22 years of teaching experience. His expertise and research interests include applying information technology in agriculture, the Internet of Things, computer programming, machine learning, and artificial intelligence.
Sarah Kaddu
Co-Investigator
She is a Senior Lecturer and Dean at Makerere University's East African School of Library and Information Science. Her research focuses on knowledge organisation, digital curation, metadata systems, algorithmic governance, intelligent information retrieval, semantic technologies, and ethical AI-driven decision support.
Alice Gitta Kutyamukama
Co-Investigator
She studies intelligent STEM information systems, using semantic indexing, ontology-driven retrieval, and intelligent knowledge management to improve access to scientific information. Her interests include maternal mental health information management, digital repositories, metadata modelling, adaptive information systems, and user-centred design.