Dr. Henry Muchiri, a researcher at Strathmore University’s School of Computing and Engineering Sciences (SCES), along with his team members Delphine Clara Zemp from Université de Neuchâtel, Anthony Mwangi from the Kenya Forestry Research Institute, and Fengshou Gu from the University of Huddersfield, have been honored with the 2023 Innovation Grants Program award by Climate Change AI.

This recognition highlights the quartet’s groundbreaking work in utilizing artificial intelligence (AI) to combat illegal logging in Kenyan community forests, a significant contributor to carbon emissions and environmental degradation.

Titled ‘Curbing Illegal Logging Patterns Using Sound-based Detection Techniques,’ the project is a collaborative effort involving Strathmore University, Université de Neuchâtel, the Kenya Forestry Research Institute, and the University of Huddersfield. It aims to deploy Internet of Things (IoT) devices equipped with AI algorithms to detect logging sounds in Kenyan forests. These devices will send real-time alerts to authorities for further investigation, helping to prevent illegal logging activities.

The innovative use of AI in this project not only enhances forest management but also supports climate change mitigation efforts. By curbing illegal logging, the project helps maintain carbon stocks, thereby reducing carbon emissions and contributing to the fight against climate change. Moreover, it promotes data-driven forest management, benefiting local communities who depend on forests for their livelihoods.

Dr. Muchiri’s team will also conduct carbon stock measurements to assess the impact of illegal logging and the effectiveness of their intervention. This data will provide valuable insights for policymakers and environmental organizations, facilitating informed decision-making and sustainable forest management practices.

Climate Change AI, an organization at the forefront of integrating AI with climate action, announced its 2023 Innovation Grantees on June 26, 2024. This year, the program provided USD 1.4 million in funding to support projects that leverage AI and machine learning to address climate change across various sectors. The grantees, selected from submissions by experts in 47 countries, include nine outstanding projects from 30 universities, companies, nonprofits, NGOs, and governmental organizations worldwide.

The success of the Curbing Illegal Logging Patterns Using Sound-based Detection Techniques project underscores the importance of interdisciplinary collaboration and the potential of AI to address complex environmental challenges. It also highlights Strathmore University’s commitment to pioneering research that has a tangible impact on society and the environment.

For more information on the Innovation Grants and the funded projects, visit Climate Change AI.

Article written by: Stephen Wakhu