Deep-learning and Computer-vision Facilitated Pollination Monitoring for Agriculture

This research conceptualises, develops and applies novel computer vision and deep learning software to enhance our understanding of insect pollinator behaviour in agriculture and ecology. Pollinators underpin around a third of food for human consumption, and insects, especially bees, are essential for global sustainability. Improving our understanding of insect pollination through monitoring is required for enhancing crop production and food security. Whilst existing methods of pollination monitoring are manual, digital technologies I introduce automatically capture and analyse measures of flower visitation by insects. This solution enables data-driven crop pollination management and transforms insect biodiversity monitoring.