Developing sustainable business models using Earth Observation for climate adaptation
Increasing climate-related risks including extreme heat, drought and the high prevalence of pests and diseases puts agricultural and food systems under constant pressure. While new data and technologies, such as Earth Observation (EO), can help predict and prevent threats, it is not readily available. This project aims to close this gap by delivering a multi-service, multi-user platform that supports collaborative data sharing and application. The system will help to meet the challenges of adaptive agriculture, integrating data sets that address the exposure, hazards and vulnerability of individual commodity supply chains to climate-driven risks. CABI is leading on developing sustainable business and governance models, and a maize use case in Kenya that will help to understand user needs and challenges that EO data and analytics can help address.
Identifying and managing false codling moth in roses in Ethiopia
The horticultural sector is key to Ethiopia’s economy, contributing to foreign exchange revenue and employment. But the rose-cut flower is of significance due to its increasing demand, market growth, and Ethiopia’s ability to dominate production thanks to its favourable conditions. However, the false codling moth, a major pest, is threatening the quality and marketability of rose-cut flowers, jeopardising the growing horticulture industry and Ethiopia’s export markets. And due to its persistent presence, quarantine restrictions are resulting in high costs and lower profits. To address this problem, CABI is seeking to strengthen the capacity of Ethiopian horticulture authorities, associations and member farms to help improve compliance.