Plant Aid: A GRIP4PSI Big-Data Project to Detect Plant Diseases Faster
An interdisciplinary team led by professor Jean Ristaino will combine small sensors with big data for faster detection of the diseases plaguing tomato fields. From a hand-held plant disease ‘sniffer’ to a cloud-based database that can alert farmers about the cause of the stress and suggest possible mitigation strategies, the project aims to detect diseases early, improving yield.
ENT 491/591/791 – 002 – Open for Enrollment
Insects display a range of pathogenic and mutualistic interactions that are rarely encountered elsewhere in the natural world.
Making At-Home Learning Fun For All
NC State’s Science House, a statewide STEM outreach program for K-12 students, has developed online learning resources for students who are staying home for school.
Villani Lab’s Research on Rapid Apple Decline Highlighted in Science
Sara Villani was interviewed for an article in Science magazine about research on Rapid Apple Decline (RAD).