Malaria remains one of the leading public health challenges in Ghana. A key malaria prevention strategy is Larval Source Management (LSM), which targets mosquito breeding sites before larvae mature into adult vectors. However, implementing LSM especially in wetlands, flood-prone areas, and other difficult-to-access environments can be labour-intensive and time-consuming.

To address these challenges, SORA Technology is leveraging drone technology, artificial intelligence, and digital field tools to improve the identification, classification, monitoring, and treatment of mosquito breeding sites.

The project combines drone mapping, artificial intelligence, and digital field management to identify, classify, and treat mosquito breeding sites. High-resolution aerial imagery is analyzed to detect water bodies and assess their suitability for mosquito breeding, after which high-risk sites are targeted through precision drone-based larvicide spraying. The findings are integrated into the Zzapp Malaria platform (a digital tool designed to strengthen LSM) to support field monitoring, navigation, larval surveillance, and operational coordination.