AM1: GreenBox*

Automated Monitoring of Farmland Bird Biodiversity Using AI-Analyzed Bird Song and Mobile Networks

GreenBox seeks to enhance the assessment of farmland bird diversity, a crucial indicator of ecological health within agricultural landscapes. Recognizing the importance of these species in informing environmental stewardship initiatives, the project aims to demonstrate to farmers, land managers, and ecologists capture of the variety and seasonal activity patterns of birds in farm-associated habitats. Traditional methods for identifying bird species often involve ecological experts conducting time-intensive surveys along predetermined routes, which can limit both temporal coverage and species detection due to resource constraints.

In contrast, this project will implement sound monitoring sensors and mobile networks to automate the capture of bird song. The recorded audio will be analyzed through artificial intelligence algorithms to generate bird biodiversity information, which will be transmitted via mobile networks to an online dashboard. This platform will demonstrate insights into avian biodiversity in real time, providing data-driven insights on the effectiveness of biodiversity interventions and mitigating constraints associated with traditional methods.

*The name “GREENBOX” symbolizes the integration of advanced technology, often viewed as a “black box”, with environmentally sustainable practices, showcasing our commitment to utilizing sensors and AI in promoting sustainable agriculture.