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2008.04060
Cited By

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

Scientific Reports (Sci Rep), 2020

28 July 2020

Mohsen Shahhosseini

S. Archontoulis

ArXiv (abs)PDF HTML

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

15 / 15 papers shown

FARM: Fine-Tuning Geospatial Foundation Models for Intra-Field Crop Yield Regression

FARM: Fine-Tuning Geospatial Foundation Models for Intra-Field Crop Yield Regression

Shayan Nejadshamsi

133

0

0

30 Oct 2025

Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction

Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction

Marcela Charfuelan

Matias Valdenegro Toro

140

1

0

21 Oct 2025

From General to Specialized: The Need for Foundational Models in Agriculture

From General to Specialized: The Need for Foundational Models in Agriculture

Vishal Nedungadi

Ioannis Athanasiadis

319

3

0

07 Jul 2025

Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges

Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges

Nguyen Huu Thuy

Dominik Behrend

Krishnagopal Halder

327

11

0

22 Apr 2025

Learning county from pixels: corn yield prediction with attention-weighted multiple instance learningInternational Journal of Remote Sensing (IJRS), 2023

683

3

0

02 Dec 2023

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

176

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 TransformerIEEE International Conference on Computer Vision (ICCV), 2023

Summer Crawford

...

Magdy A. Bayoumi

340

67

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

192

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

Toshiyuki Bandai

...

Chris Rackauckas

Binayak Mohanty

386

19

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

141

4

0

23 Nov 2022

A weakly supervised framework for high-resolution crop yield forecasts

A weakly supervised framework for high-resolution crop yield forecastsEnvironmental Research Letters (ERL), 2022

Ioannis Athanasiadis

122

12

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

Ariel Ortiz-Bobea

Daniel Schwalbe-Koda

385

120

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

Austin A. Dobbels

184

40

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

Anand Rangarajan

299

11

0

24 Jun 2021

Corn Yield Prediction with Ensemble CNN-DNN

Corn Yield Prediction with Ensemble CNN-DNNFrontiers in Plant Science (Front. Plant Sci.), 2021

Mohsen Shahhosseini

S. Archontoulis

181

85

0

29 May 2021

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