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.
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.
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
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
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
There are no teams
Level 3, Block B - College of Computing & Information Sciences (CoCIS), Makerere University, Kampala Uganda.