BioDScan is a technology-driven platform revolutionizing biodiversity monitoring and credit validation through real-time data collection. Utilizing computer vision, IoT, and advanced visual sensing, our platform delivers actionable insights into pollinator activity, enabling businesses, farmers, and policymakers to make informed decisions that enhance ecosystem resilience and support sustainable food production. By bridging the gap between biodiversity conservation and technology, BioDScan enables precision pollination management, biodiversity credit validation, and supply chain sustainability, ensuring a data driven approach to protecting the natural world.
Environmental engineer and industrial chemist specializing in climate-smart agriculture, soil health, and water sustainability. Experienced in delivering data-driven solutions using IoT, precision agriculture, Nature based solutions (NbS) solutions, and crop modeling to improve irrigation efficiency, fertigation, and farm productivity.
BioDScan provides a technology-driven service for real-time biodiversity monitoring and biodiversity credit validation using AI, computer vision, and IoT sensors.