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DeepAg: Deep Learning Approach for Measuring the Effects of Outlier
  Events on Agricultural Production and Policy

DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy

22 October 2021
Sai Gurrapu
Fatemeh Jamshidi
Pei Wang
Md. Nazmul Kabir Sikder
Nitish Gorentala
Gopinath Munisamy
ArXivPDFHTML

Papers citing "DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy"

3 / 3 papers shown
Title
A Review of Cybersecurity Incidents in the Food and Agriculture Sector
A Review of Cybersecurity Incidents in the Food and Agriculture Sector
Ajay Kulkarni
Yingjie Wang
Munisamy Gopinath
Dan Sobien
Abdul Rahman
Feras A. Batarseh
27
5
0
12 Mar 2024
NADBenchmarks -- a compilation of Benchmark Datasets for Machine
  Learning Tasks related to Natural Disasters
NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters
A. Proma
Md. Saiful Islam
Stela Ciko
Raiyan Abdul Baten
E. Hoque
42
3
0
21 Dec 2022
Public Policymaking for International Agricultural Trade using
  Association Rules and Ensemble Machine Learning
Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning
Feras A. Batarseh
M. Gopinath
A. Monken
Zhengrong Gu
21
14
0
15 Nov 2021
1