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Predicting Food Security Outcomes Using Convolutional Neural Networks
  (CNNs) for Satellite Tasking

Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking

13 February 2019
Swetava Ganguli
Jared A. Dunnmon
D. Hau
ArXivPDFHTML

Papers citing "Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking"

3 / 3 papers shown
Title
Food safety risk prediction with Deep Learning models using categorical
  embeddings on European Union data
Food safety risk prediction with Deep Learning models using categorical embeddings on European Union data
Alberto Nogales
Rodrigo Díaz Morón
Á. García-Tejedor
17
17
0
14 Sep 2020
Semi-Supervised Multitask Learning on Multispectral Satellite Images
  Using Wasserstein Generative Adversarial Networks (GANs) for Predicting
  Poverty
Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty
Anthony Perez
Swetava Ganguli
Stefano Ermon
G. Azzari
Marshall Burke
David B. Lobell
GAN
21
38
0
13 Feb 2019
Predicting US State-Level Agricultural Sentiment as a Measure of Food
  Security with Tweets from Farming Communities
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities
Jared A. Dunnmon
Swetava Ganguli
D. Hau
B. Husic
16
6
0
13 Feb 2019
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