At the beginning of the DroneWild project, our goal was simple but ambitious :- to develop our own machine learning model capable of automatically detecting UK wildlife using drone imagery. By combining BH Wildlife Consultancy’s extensive image depository with the expertise of Peter from Addax Data Science, we’ve reached another milestone: phase two of our model, which now recognises 15 UK mammal species from aerial footage. Some species currently have only a few hundred trai

Last week, DroneWild hosted a three-day Development Event in Galloway Forest Park. We would like to take this opportunity to extend our thanks to all participants for their engagement, to Forestry and Land Scotland for hosting us and to the rangers for their valued contribution to the project. The programme featured a varied mix of presentations, team culls, and workshops, all designed to support knowledge sharing, collaboration, and the advancement of our objectives. Such ev

At DroneWild, our mission is to provide a comprehensive, end-to-end solution for wildlife management and conservation. Our platform is built on four foundational pillars: the latest drone hardware solutions, intelligent software, advanced machine learning, and practical, real-world training. These pillars work in tandem to deliver unmatched accuracy, efficiency, and minimal disturbance in the field, ensuring that every flight brings you closer to your conservation goals. 1. H

DroneWild founders, Katie & Ben Harrower Welcome to DroneWild – where cutting-edge drone technology meets intelligent software to transform the future of wildlife management. In this first blog post, we’re excited to share the story behind DroneWild: how it began, the journey so far, and our vision for revolutionising wildlife monitoring and conservation. Our Origins Born out of our successful participation in the CivTech Challenge 9.3, sponsored by Forestry & Land Scotland,