11 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.CL2019★ 9 cited
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities
Jared Dunnmon, Swetava Ganguli, Darren Hau +1
The ability to obtain accurate food security metrics in developing areas where relevant data can be sparse is critically important for policy makers tasked with implementing food a…
cs.CV2019★ 11 cited
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking
Swetava Ganguli, Jared Dunnmon, Darren Hau
Obtaining reliable data describing local Food Security Metrics (FSM) at a granularity that is informative to policy-makers requires expensive and logistically difficult surveys, pa…