Biodiversity factor measurement with intelligent acoustic sensors

The global decline in insect diversity is a key indicator of the loss of biodiversity. However, approaches to determining the insect fauna only provide a selective picture of reality, as they have so far mostly been based on time-consuming manual identification and counting methods. These require a great deal of experience and knowledge. The aim is to develop an intelligent sensor system that uses artificial intelligence methods to autonomously and self-learningly classify and count insect species on the basis of the sounds they make. This enables autonomous biodiversity monitoring for insects of different functional groups. The implementation of the technology in practice is being comprehensively prepared both in laboratory studies and with experiments on agricultural land. Based on the knowledge gained, a comprehensive and continuous biodiversity monitoring system can be implemented. This forms the basis for a comprehensive assessment of the status quo and thus contributes to sustainable land use and the development of agricultural strategies. The new monitoring approach of BioIntAkt contributes to the development of conservation measures by recording biological diversity and thus supports the goals of the research initiative.

In the first phase, the project pursues the in-depth development of a concept and the preparation of an application for a second phase, which will focus on the implementation of the aforementioned objectives. In addition, initial scientific work will be carried out in the project to enable an effective and rapid entry into a possible second phase.

Project lead: Prof. Dr. Andreas Reinhardt

Clausthal University of Technology