The University of Delaware received a $722,356 Project Grant award from the USDA National Institute of Food and Agriculture (NIFA) under the Agriculture and Food Research Initiative (AFRI) program. The funding will support the development of a decision-support platform that uses machine learning models to predict pest phenology, with a focus on three Midwest aphid pests. Key objectives include creating optimal machine learning models, developing a containerized software platform, validating results through new data collection, and engaging with end-users. The University of Illinois Urbana-Champaign received a subaward of unspecified amount to assist with managing the aphid suction trap network data and collecting field validation data. This project aims to integrate artificial intelligence and modern software engineering to help farmers make informed and economical pest management decisions.
Generated 3/4/25, 7:14 AM