As the climate changes, pests previously unable to survive in the BSR will become viable and may flourish in the new conditions. To enable rapid responses, it is necessary to collect and monitor data on the diversity of plant diseases, especially during growing season. Precise biodiversity data of pests are a crucial prerequisite to develop possible future scenarios of their spread and make recommendations for adaptation. A major challenge is that we miss such precise and digitally available monitoring schema. This data must be collected, integrated with existing data, and analyzed as soon as possible. It must be easily shareable between farmers, officials, and researchers across countries to ensure that threats are identified and responded to quickly and comprehensively. PestSpace will use existing technologies to create a system that identifies pests in the field using environmental DNA and photos uploaded via a mobile app. Machine-learning will be used to discover and identify unknown pests and data will be stored in a common data space on the PlutoF platform.The system will quickly notify plant growers of threats and provide guidance on how to respond to them.We will develop guidance materials on the use of the system and engage all stakeholders along the value chain. We will validate the system using two important crops to the BSR and create guidelines on how the system could be further expanded to cover other crops in other countries in the BSR in the future