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Coupling Machine Learning and Crop Modeling Improves Crop Yield
  Prediction in the US Corn Belt
v1v2 (latest)

Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt

28 July 2020
Mohsen Shahhosseini
Guiping Hu
S. Archontoulis
I. Huber
    AI4Cl
ArXiv (abs)PDFHTML

Papers citing "Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt"

12 / 12 papers shown
Title
Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges
Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges
Yue Shi
Liangxiu Han
Xin Zhang
Tam Sobeih
T. Gaiser
Nguyen Huu Thuy
Dominik Behrend
A. Srivastava
Krishnagopal Halder
F. Ewert
AI4CE
64
0
0
22 Apr 2025
Learning county from pixels: Corn yield prediction with attention-weighted multiple instance learning
Xiaoyu Wang
Yuchi Ma
Qunying Huang
Zhengwei Yang
Zhou Zhang
221
1
0
17 Feb 2025
Revolutionizing Global Food Security: Empowering Resilience through
  Integrated AI Foundation Models and Data-Driven Solutions
Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions
Mohamed R. Shoaib
Heba M. Emara
Jun Zhao
22
3
0
31 Oct 2023
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal
  Spatial-Temporal Vision Transformer
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
Fudong Lin
Summer Crawford
Kaleb Guillot
Yihe Zhang
Yan Chen
...
Tri Setiyono
B. Tubana
Lu Peng
Magdy A. Bayoumi
N. Tzeng
96
26
0
16 Sep 2023
Factors other than climate change are currently more important in
  predicting how well fruit farms are doing financially
Factors other than climate change are currently more important in predicting how well fruit farms are doing financially
Fabian Obster
Heidi Bohle
P. Pechan
51
1
0
11 Jan 2023
Differentiable modeling to unify machine learning and physical models
  and advance Geosciences
Differentiable modeling to unify machine learning and physical models and advance Geosciences
Chaopeng Shen
A. Appling
Pierre Gentine
Toshiyuki Bandai
H. Gupta
...
Chris Rackauckas
Tirthankar Roy
Chonggang Xu
Binayak Mohanty
K. Lawson
AI4CE
112
15
0
10 Jan 2023
Corn Yield Prediction based on Remotely Sensed Variables Using
  Variational Autoencoder and Multiple Instance Regression
Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression
Zeyu Cao
Yuchi Ma
Zuxun Zhang
16
1
0
23 Nov 2022
A weakly supervised framework for high-resolution crop yield forecasts
A weakly supervised framework for high-resolution crop yield forecasts
Dilli Paudel
Diego Marcos
A. de Wit
H. Boogaard
Ioannis Athanasiadis
29
5
0
18 May 2022
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information:
  Application to Crop Yield Prediction
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
Joshua Fan
Junwen Bai
Zhiyun Li
Ariel Ortiz-Bobea
Carla P. Gomes
183
73
0
17 Nov 2021
An Applied Deep Learning Approach for Estimating Soybean Relative
  Maturity from UAV Imagery to Aid Plant Breeding Decisions
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions
Saba Moeinizade
Hieu H. Pham
Ye Han
Austin A. Dobbels
Guiping Hu
60
30
0
02 Aug 2021
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth
  Estimation
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation
G. Worrall
Anand Rangarajan
J. Judge
84
7
0
24 Jun 2021
Corn Yield Prediction with Ensemble CNN-DNN
Corn Yield Prediction with Ensemble CNN-DNN
Mohsen Shahhosseini
Guiping Hu
S. Khaki
S. Archontoulis
41
60
0
29 May 2021
1