Plant Aid: A GRIP4PSI big-data project to detect plant diseases faster
Story Date: 5/4/2020

 

Source: NCSU COOPERATIVE EXTENSION, 4/29/20

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. 

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