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Crop Yield Prediction Using Deep Neural Networks
v1v2v3 (latest)

Crop Yield Prediction Using Deep Neural Networks

7 February 2019
S. Khaki
Lizhi Wang
ArXiv (abs)PDFHTML

Papers citing "Crop Yield Prediction Using Deep Neural Networks"

31 / 31 papers shown
Title
WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification
WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification
Toqi Tahamid Sarker
Khaled R Ahmed
Taminul Islam
Cristiana Bernardi Rankrape
Karla Gage
92
1
0
20 Aug 2025
AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials
AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials
Mohammad El Sakka
Caroline De Pourtales
Lotfi Chaari
Josiane Mothe
147
1
0
13 Jun 2025
On the Generalizability of Foundation Models for Crop Type Mapping
On the Generalizability of Foundation Models for Crop Type Mapping
Yi-Chia Chang
Adam J. Stewart
Favyen Bastani
Piper Wolters
Shreya Kannan
George R. Huber
Jingtong Wang
Arindam Banerjee
362
4
0
14 Sep 2024
A Machine Learning Approach for Crop Yield and Disease Prediction
  Integrating Soil Nutrition and Weather Factors
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
Forkan Uddin Ahmed
Annesha Das
Md. Zubair
73
4
0
28 Mar 2024
Innovations in Agricultural Forecasting: A Multivariate Regression Study
  on Global Crop Yield Prediction
Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield PredictionIJARCCE (IJARCCE), 2023
Ishaan Gupta
Samyutha Ayalasomayajula
Yashas Shashidhara
Anish Kataria
Shreyas Shashidhara
Krishita Kataria
Aditya Undurti
212
4
0
04 Dec 2023
Learning county from pixels: corn yield prediction with attention-weighted multiple instance learningInternational Journal of Remote Sensing (IJRS), 2023
Xiaoyu Wang
Yuchi Ma
Qunying Huang
Zhengwei Yang
Zhou Zhang
577
2
0
02 Dec 2023
Challenges for Predictive Modeling with Neural Network Techniques using
  Error-Prone Dietary Intake Data
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake DataStatistics in Medicine (Stat Med), 2023
Dylan Spicker
Amir Nazemi
Joy M Hutchinson
Paul Fieguth
Sharon I. Kirkpatrick
Michael P Wallace
Kevin W. Dodd
163
1
0
15 Nov 2023
Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework
  Built on GraphSAGE for Optimized Yield Prediction
Agri-GNN: A Novel Genotypic-Topological Graph Neural Network Framework Built on GraphSAGE for Optimized Yield Prediction
Aditya Gupta
Asheesh Singh
111
11
0
19 Oct 2023
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using
  Large Language Models
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
B. Silva
Leonardo Nunes
Roberto Estevão
Vijay Aski
Ranveer Chandra
ELMLM&MA
248
24
0
10 Oct 2023
A Hybrid Deep Learning-based Approach for Optimal Genotype by
  Environment Selection
A Hybrid Deep Learning-based Approach for Optimal Genotype by Environment Selection
Zahra Khalilzadeh
Motahareh Kashanian
S. Khaki
Lizhi Wang
110
1
0
22 Sep 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
Fudong Lin
Summer Crawford
Kaleb Guillot
Yihe Zhang
Yan Chen
...
Tri Setiyono
B. Tubana
Lu Peng
Magdy A. Bayoumi
N. Tzeng
284
53
0
16 Sep 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
347
16
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
111
3
0
23 Nov 2022
Towards Global Crop Maps with Transfer Learning
Towards Global Crop Maps with Transfer LearningIEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
H. Jo
Alkiviadis Koukos
Vasileios Sitokonstantinou
Wookyun Lee
C. Kontoes
193
6
0
09 Nov 2022
Extreme Gradient Boosting for Yield Estimation compared with Deep
  Learning Approaches
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning ApproachesComputers and Electronics in Agriculture (Comput. Electron. Agric.), 2022
Florian Huber
Artem Yushchenko
Benedikt Stratmann
Volker Steinhage
101
100
0
26 Aug 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
Daniel Schwalbe-Koda
325
105
0
17 Nov 2021
Densely connected neural networks for nonlinear regression
Densely connected neural networks for nonlinear regression
Chao Jiang
Canchen Jiang
Dongwei Chen
Fei Hu
PINN
76
25
0
29 Jul 2021
Corn Yield Prediction with Ensemble CNN-DNN
Corn Yield Prediction with Ensemble CNN-DNNFrontiers in Plant Science (Front. Plant Sci.), 2021
Mohsen Shahhosseini
Guiping Hu
S. Khaki
S. Archontoulis
147
76
0
29 May 2021
Winter wheat yield prediction using convolutional neural networks from
  environmental and phenological data
Winter wheat yield prediction using convolutional neural networks from environmental and phenological dataScientific Reports (Sci Rep), 2021
A. Srivastava
N. Safaei
S. Khaki
Gina M. Lopez
W. Zeng
F. Ewert
T. Gaiser
Jaber Rahimi
181
128
0
04 May 2021
WheatNet: A Lightweight Convolutional Neural Network for High-throughput
  Image-based Wheat Head Detection and Counting
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and CountingNeurocomputing (Neurocomputing), 2021
S. Khaki
N. Safaei
Hieu H. Pham
Lizhi Wang
223
111
0
17 Mar 2021
High-Throughput Image-Based Plant Stand Count Estimation Using
  Convolutional Neural Networks
High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural NetworksbioRxiv (bioRxiv), 2020
S. Khaki
Hieu H. Pham
Ye Han
W. Kent
Lizhi Wang
230
19
0
23 Oct 2020
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 BeltScientific Reports (Sci Rep), 2020
Mohsen Shahhosseini
Guiping Hu
S. Archontoulis
I. Huber
AI4Cl
267
315
0
28 Jul 2020
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput
  Image-Based Corn Kernel Counting and Yield Estimation
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
197
70
0
20 Jul 2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using
  Deep Learning
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep LearningPLoS ONE (PLOS ONE), 2020
Johnathon Shook
Tryambak Gangopadhyay
Linjian Wu
Baskar Ganapathysubramanian
Soumik Sarkar
Asheesh K. Singh
142
157
0
24 Jun 2020
Convolutional Neural Networks for Image-based Corn Kernel Detection and
  Counting
Convolutional Neural Networks for Image-based Corn Kernel Detection and CountingItalian National Conference on Sensors (INS), 2020
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
226
59
0
26 Mar 2020
Forecasting Corn Yield with Machine Learning Ensembles
Forecasting Corn Yield with Machine Learning EnsemblesFrontiers in Plant Science (Front. Plant Sci.), 2020
Mohsen Shahhosseini
Guiping Hu
S. Archontoulis
284
211
0
18 Jan 2020
A CNN-RNN Framework for Crop Yield Prediction
A CNN-RNN Framework for Crop Yield PredictionFrontiers in Plant Science (Front. Plant Sci.), 2019
S. Khaki
Lizhi Wang
S. Archontoulis
241
520
0
20 Nov 2019
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
Maize Yield and Nitrate Loss Prediction with Machine Learning AlgorithmsEnvironmental Research Letters (ERL), 2019
Mohsen Shahhosseini
R. Martinez-Feria
Guiping Hu
S. Archontoulis
338
171
0
14 Aug 2019
Optimizing Ensemble Weights and Hyperparameters of Machine Learning
  Models for Regression Problems
Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression ProblemsMachine Learning with Applications (MLWA), 2019
Mohsen Shahhosseini
Guiping Hu
Hieu H. Pham
397
182
0
14 Aug 2019
Aerial hyperspectral imagery and deep neural networks for
  high-throughput yield phenotyping in wheat
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheatComputers and Electronics in Agriculture (Comput. Electron. Agric.), 2019
A. Moghimi
Ce Yang
J. Anderson
83
79
0
23 Jun 2019
Classification of Crop Tolerance to Heat and Drought: A Deep
  Convolutional Neural Networks Approach
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach
S. Khaki
Zahra Khalilzadeh
Lizhi Wang
520
32
0
02 Jun 2019
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