Register for free to
view the full innovation profile.
We use bioacoustics to detect which bird species are present using Machine Learning to analyse audio files. A deterrent could be selectively triggered when a species is present
About
Wilder Sensing is a Nature Tech startup using sound (bioacoustics) and Machine Learning to identify which species of bird is present by identifying the calls they make. This can be used to track changes to biodiversity over time, understand how a site restoration of progressing or land use change from regenerative farming. Used by farmers, NGO's, ecologists, mining and renewable energy companies around the world.
Key Benefits
The effectiveness of ongoing sound base deterrents to scare birds declines over time as they get habituated and no longer respond. Continued sound deterrents can also cause noise nuisance to neighbours and staff. By automatically identifying which bird species are present and may cause crop damage a species specific deterrent could be triggered. This will increase the effectiveness of the deterrent therefore reducing crop damage. If a problematic species was identified as being near or on a site the species specific alarm call could be broadcast - resulting in a much higher flight response from the individuals. This will reduce stress in other species (probably) which may be of conservation concern and do not damage crops. The primary benefit would be reduced crop damage.
Applications
This is one of a number of specific use cases for bioacoustics - our solution is used for environmental site surveys by ecologists, regenerative farming to understand the changes to biodiversity, mining companies to identify areas of concern and understand site restoration as well as NGO's understanding what species are present on a site or landscape. This use case could be applied to farmers anywhere in the world where crop damage is a problem.