ademnea@cit.ac.ug +256 701909833

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 ÔÇťAdaptive 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.

01

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

02

Weather information

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.

03

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.

04

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

05

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.

06

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.

Our Partners

Our Team

AdEMNEA research team and their profiles

There are no teams

Contact

Location:

Level 3, Block B - College of Computing & Information Sciences (CoCIS), Makerere University, Kampala Uganda.

Call:

+256-772-310-038

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