Genetic and robotic technologies for pest detection in vineyards

Through the integration of robotics and genetic technologies, the GRiP project aims to improve the sensitivity, timeliness and scalability of pest detection and surveillance in Swiss vineyards, with potential implications beyond this specific context. The main objectives of this research project include the development of drone based eDNA collection techniques to effectively sample crops on a large scale, the design and development of rapid field tests to detect pest species through eDNA, and the in-field testing of these novel methods to detect invasive species in risk areas.

By combining the adaptable nature of the eDNA tests and the autonomous potential of sample collection with drones, the researchers aim is to develop a scalable solution for addressing emerging threats, such as pests and invasive species in agricultural areas.

Pest invasions lead to significant crop losses and economic damage worldwide. Effective monitoring methods and field analysis tools are urgently needed to identify outbreaks and aid decision-making processes for invasive pest species. Environmental DNA (eDNA) is becoming an increasingly utilized tool for detecting taxa from trace DNA deposits, offering a promising monitoring system for early detection of pests and diseases in agricultural ecosystems. This project aims to develop autonomous drone-based sampling approaches for crops as well as novel rapid eDNA tests, that can aid the accurate detection of pests in large agricultural areas. First results from field-based trials indicate that eDNA methods are suitable for early detections and that this interdisciplinary approach has the potential to become a scalable solution for biomonitoring and addressing emerging threats such as pests and invasive species.