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Corn Yield Prediction with Ensemble CNN-DNN

Corn Yield Prediction with Ensemble CNN-DNN

29 May 2021
Mohsen Shahhosseini
Guiping Hu
S. Khaki
S. Archontoulis
ArXivPDFHTML

Papers citing "Corn Yield Prediction with Ensemble CNN-DNN"

11 / 11 papers shown
Title
Learning county from pixels: Corn yield prediction with attention-weighted multiple instance learning
Xiaoyu Wang
Yuchi Ma
Qunying Huang
Zhengwei Yang
Zhou Zhang
171
1
0
17 Feb 2025
Coupling Machine Learning and Crop Modeling Improves Crop Yield
  Prediction in the US Corn Belt
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt
Mohsen Shahhosseini
Guiping Hu
S. Archontoulis
I. Huber
AI4Cl
25
256
0
28 Jul 2020
Forecasting Corn Yield with Machine Learning Ensembles
Forecasting Corn Yield with Machine Learning Ensembles
Mohsen Shahhosseini
Guiping Hu
S. Archontoulis
75
173
0
18 Jan 2020
A CNN-RNN Framework for Crop Yield Prediction
A CNN-RNN Framework for Crop Yield Prediction
S. Khaki
Lizhi Wang
S. Archontoulis
60
441
0
20 Nov 2019
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
Mohsen Shahhosseini
R. Martinez-Feria
Guiping Hu
S. Archontoulis
38
154
0
14 Aug 2019
Crop Yield Prediction Using Deep Neural Networks
Crop Yield Prediction Using Deep Neural Networks
S. Khaki
Lizhi Wang
45
541
0
07 Feb 2019
Conditional Time Series Forecasting with Convolutional Neural Networks
Conditional Time Series Forecasting with Convolutional Neural Networks
Anastasia Borovykh
S. Bohté
C. Oosterlee
AI4TS
47
473
0
14 Mar 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
439
43,234
0
11 Feb 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
422
43,635
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.5K
100,213
0
04 Sep 2014
1