The Norwegian University of Science and Technology (NTNU), in partnership with Makerere University (MAK), University of Juba (UoJ), Dar-es-salaam Institute of Technology (DIT) and University of Bergen (UoB) received a grant from NORAD, the Norwegian Agency for Development Cooperation under its NORHED II programme. The project is titled “Adaptive Environmental Monitoring Networks for East Africa (AdEMNEA).
The AdEMNEA project will design, develop, and deploy a flexible network of data gathering and monitoring stations for meteorological data as well as a wide variety of data including audio, image, and video data as well as field reports and telemetry data, integrating both existing sensing platforms and customised components for specific research areas targeting Climate Change and Natural Resources. These data points will be aggregated through resilient and energy-efficient ICT networks from the field to researchers conducting data analysis using machine learning, pattern recognition, and other artificial intelligence and analytical methods in order to support researchers in the application domain. The targeted application domains will be weather monitoring, building on the results and infrastructure established in the NORHED WIMEA-ICT project, and using this data together with the additional sensing and measurement sources to support researchers initially in the entomology domain.
Networks and Resilience(WP1)
VSensor data must be collected from both static and mobile sensors in the field and then aggregated by nodes which are energy-constrained either because they rely on batteries or on local power sources such as solar panels.
Sensors and signal processing(WP2)
These data shall be stored and integrated in digital platforms that facilitate analysis of temporal and spatial species abundance and diversity, improvement of insect management, reduction of pesticide usage and institution of conservation measures for pollinating insects
Data Analytics for Environment Monitoring services(WP3)
Development of automated information collection for insect pollinators and pests. And also for the first time combined utilization of large weather information data sets in insect pollinator conservation planning and pest control method design
AdEMNEA Project LAUNCH
World Bee Day Celebrations - Lira District (Northern Uganda)
Monthly Seminar Photos - June 2022
Validated weather information protocols
This work package will create a comprehensive overview over available data sources for meteorological and other relevant environmental parameters, focusing on the aspects of agricultural pest control and pollination
This work package will create a comprehensive overview over available data sources for meteorological and other relevant environmental parameters, focusing on the aspects of agricultural pest control and pollination.
Data analytics for pest control
This project therefore aims at documenting the insect pest species across different cropping systems in Uganda, assessing their population dynamics across seasons and pest management approaches and finally generating information.
Sensor Gateway and Weather Parameters
Build up the logistic framework to allow for an efficient analysis and dissemination of information relevant for pollination and pest control
Insect Recognition and Counting from Image/Video Data
Design and implementation of image-based proximity sensing methods and tools for automatic detection and counting of key flying/crawling pollinating and pest insects.
Telemetry Tracking of Insects
Design and implementation of a light-weight long-range insect tracking system utilizing passive radio frequency identification (RFID) tags. RFID offers the advantage of rapid and simultaneous insect detection and is less disruptive on insect behavior given the small size of the tags.
AdEMNEA research team and their profiles
DR. JULIANNE SANSA-OTIMSenior Lecturer at Makerere University
She leads the WIMEA-ICT lab where research in low-cost automatic weather stations, forecast modeling and software development for weather services are conducted. In these research efforts she works with colleagues and students from Uganda, Kenya, Tanzania, South Sudan, Rwanda, South Africa, Sweden and Norway. She has undertaken multi-disciplinary studies with colleagues from the Health, Meteorology, Agriculture and Electrical Engineering disciplines. Her research team has won research grants from a number of Development agencies, resulting into capacity building of several university departments. She has published widely in international peer reviewed journals and conferences and supervised various graduate students. Julianne received a PhD in Communications Networks from the University of Groningen, the Netherlands, after studying “Internet High-speed Data Transport Protocols”. Prior to that she had completed a MSc. in Computer Science and a BSc. in Computer Science and Mathematics from Makerere University. Her current research interests are ICT4Development, Internet-of-things for developing regions, Communications Network Protocol Design, telecommunication policies analysis, Quality of Service, Quality of Experience and Systems Security. She also serves on several boards including that of Research and Education Network for Uganda (RENU) and the UbuntuNet Alliance. Dr. Julianne is responsible for project coordination among the AdEMNEA project southern partners. She is also specifically responsible for Tasks 1.1, 4.1, 4.2, 4.3, 4.4 and 4.5 of the AdEMNEA project that entail an adapative Network Architecture, Project contracts, disbursements, procurements, monitoring and reporting as well as outputs and dissemination.
DR. MARY NSABAGWAAssistant lecturer at Makerere University
Dr. Mary is Computer scientist with an experience of 15 years in software and firmware development. She is a Principal Investigator for “A collaborative model and hands-on approach to IoT-based research for improved research experience and quality output” under the RISE fund 2020, which has enabled the design of hand wearable devices to monitor prevailing conditions in order to detect allergens, which could lead to asthma attacks. She has previously collaborated on the WIMEA-ICT project as a PhD scholar where she spearheaded several components that led to the development of an Automatic weather station and its support software with application of wireless sensor networks. Dr. Mary holds a Bachelor’s degree in Computer Science from Makerere University, a Master’s degree in Computer Science and Technology from Hunan University and currently finalizing a PhD in Wireless Sensor Networks
DR. COSMAS MWIKIRIZELecturer at Makerere University
Dr Cosmas Mwikirize is a lecturer in the Department of Electrical Computing Engineering, Makerere University. He holds a Bachelor’s of Science degree in Electrical Engineering from Makerere University, two Masters degrees in Electrical and Biomedical Engineering from Makerere University and Rutgers University respectively and a PhD in Biomedical Engineering from Rutgers University. He is a Research scientist with expertise in instrumentation, signal processing and machine learning, and cross-cultural training/teaching/research experience at Makerere University, Massachusetts Institute of Technology, Rutgers University and Philips Research North America.
DR. ISAAC MUGUMEResearcher
Dr. Isaac Mugume is a Lecturer in the department of geography, geo-informatics and climatic sciences. He’s a dedicated researcher specializing in the field of Meteorology with over 15 years of demonstrated experience. His research focuses on applied numerical weather and climate prediction to environment, agriculture and disaster risk reduction. Through working on different research teams including graduate student supervision, Isaac aspires to become a research leader in matters of weather and climate to solve environmental and societal problems at the same time contributing to government efforts to uplift citizens. Dr. Isaac holds a bachelors degree in Education (Physics) from the Mbarara University of Science and Technology, a Diploma in Meteorology from Makerere University, am MBA in Finance from Sikkim Manipal University, a Master’s degree in Meteorology from Nanjing University of ICT and a PhD in Meteorology from Makerere university. Dr. Isaac has previously collaborated on the WIMEA-ICT project and was awarded the excellence award in research by GGCS in 2018.
DR. MBAZINGWA ELIREHEMA MKIRAMWENILecturer at DIT
Dr. Mbazingwa Elirehema Mkiramweni is a Lecturer in the department of Electronics and Telecommunications at the Dar es salaam Institute of Technology (DIT). His research focuses on resource and interference management and network optimization for Sensor Networks, 5G networks, and UAV-assisted cellular networks and game theory for wireless communication. Dr Mbazingwa holds a Bachelor’s degree in Information Engineering from the University of Science and Technology Beijing, a Masters in Information and Communications Engineering from the University of Science Technology Beijing and a PhD in Information and Communications engineering from Xidian University. Dr, Mbazingwa is responsible for Tasks 1.1 and 1.2 that entail Adaptive Network Architecture for Sensor Data Acquisition and Network Resilience Monitoring and Maintenance for the AdEMNEA
DR. ROSE NAKASIResearcher
Dr. Rose Nakasi is a PhD Researcher at the AI and Data Science lab of Makerere University. Her research interests are in using machine learning, computer vision Data Science and GIS for solving real life challenges in developing Countries. Particularly, Dr. Rose has been involved in developing improved automated tools for microscopy diagnosis and spatial-temporal prediction of diseases like Malaria. Dr. Rose is currently a Topic Group Chair for AI Based detection of Malaria under WHO/ITU FGAI4H. Dr. Rose holds a bachelors degree in Mathematics and Computer studies from Busitema University, a Master’s degree in Computer Science from Makerere University and a PhD in Computer Science from Makerere University.
Dr. Stephen WamburaLecturer, Researcher and a consultant at DIT
Dr. Stephen is a Lecturer, a Researcher and a Consultant, currently working at Dar es Salaam Institute of Technology (DIT), as a full-time lecturer in the department of Computer Studies. He supervises projects to both undergraduate and postgraduate students. Heavily involved in conducting researches, developing, evaluating and validating curricula. He is also involved in lecturing AI and Machine Learning, Big Data Analytics, Programming for Computational Science and Engineering, Object Oriented Programming and Data Structures, Operating Systems, and Signal Processing, Dr.Stephen holds both Bachelor and Master of Engineering in Computer Designs & Technologies from Vladimir State University, and a PhD in Computer Science and Technologies from Xidian University. Dr. Stephen is a Professional member of Institute of Electrical and Electronics Engineers (IEEE) and Association for Computing Machinery (ACM). His research interests are centered on Democratization of AI, Machine Learning and Deep Learning. Dr. Stephen is responsible for Tasks 2.1, 2.2 and 3.4 of work packages 2 ad 3 of the AdEMNEA project.
DR. ROSE NAKIBUULEAssistant Lecturer at Makerere University
Dr. Rose Nakibuule is an Assistant lecturer in the Department of Computer Science, Makerere University. She is a dedicated and capable researcher specializing in the field of Artificial Intelligence and data science specifically, Machine learning and Computer Vision. Her research focusses on application of methods from machine learning, computer vision and predictive analytics to solve problems affecting the developing world. Through working on different research teams including graduate student supervision and collaborations between academic, industry and society, Rose aspires to become a research leader in solving both environmental and social problems that require knowledge and application of machine learning and computer vision within the developing world. Dr. Rose is currently a Principle investigator, Privacy-preserving low-cost real-time traffic monitoring-at-the-edge with computer vision, funded by Makerere University with support from the Government of Uganda. She is a member, Research, Innovations, Services and Engagement (RISE) Directorate, College of computing and information sciences (COCIS) Makerere University. and a member, Artificial Intelligence and Data Science Lab- Research group, Makerere University. Dr. Rose holds a Bachelor of Science degree in Mathematics and Computer Science from Makerere University, a Master’s degree in Scheduling and Optimization from Makerere University and a PhD in Machine Learning and Computer Vision from Makerere University.
Makerere University, Wimea Lab