Yield Prediction

Yield prediction aims to accurately forecast crop production, informing agricultural decision-making and resource allocation. Current research emphasizes leveraging diverse data sources (remote sensing, weather, soil properties, genetics) with advanced machine learning models, including deep neural networks (DNNs), Bayesian optimization, and graph neural networks (GNNs), to improve prediction accuracy and explainability. These advancements are crucial for optimizing agricultural practices, enhancing food security, and mitigating climate change impacts on crop production, particularly by improving risk assessment and resource management. Furthermore, research is actively exploring methods to address data heterogeneity and imbalance, and to enhance model interpretability.

Papers

June 1, 2023

Improve State-Level Wheat Yield Forecasts in Kazakhstan on GEOGLAM's EO Data by Leveraging A Simple Spatial-Aware Technique
Anh Nhat Nhu, Ritvik Sahajpal, Christina Justice, Inbal Becker-Reshef
Earth Observation Spatio Temporal Forecasting Yield Prediction Crop Yield Prediction Spatial Heterogeneity Latent Bias

April 19, 2023

Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing
Andy Li, Milan Markovic, Peter Edwards, Georgios Leontidis
Federated Learning Data Heterogeneity Heterogeneous Data Model Pruning Data Sharing Plant Monitoring Yield Prediction

April 14, 2023

Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction
Florian Huber, Hannes Engler, Anna Kicherer, Katja Herzog, Reinhard Töpfer, Volker Steinhage
Machine Learning Model Random Forest Yield Prediction Shapley Value Feature

April 8, 2023

Counterfactual Explanations of Neural Network-Generated Response Curves
Giorgio Morales, John Sheppard
Neural Network Counterfactual Explanation Agricultural Data Yield Prediction Response Curve

January 8, 2023

Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach
Shuai Wang, ChiYung Yam, Shuguang Chen, Lihong Hu, Liping Li, Faan-Fung Hung, Jiaqi Fan, Chi-Ming Che, GuanHua Chen
Human Prediction Ensemble Learning Yield Prediction Protein Complex Organic Semiconductor

December 5, 2022

High-Dimensional Yield Estimation using Shrinkage Deep Features and Maximization of Integral Entropy Reduction
Shuo Yin, Guohao Dai, Wei W. Xing
Large Scale Circuit Yield Prediction Balancing Efficiency Deep Kernel Learning Feature Reduction

November 16, 2022

Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by Knowledge Distillation
Yuqi Li, Yuting He, Yihang Zhou, Zirui Gong, Renjie Huang
Knowledge Distillation Computer Vision Fire YOLOv5 Attains Yield Prediction Fruit Counting

November 15, 2022

Premonition Net, A Multi-Timeline Transformer Network Architecture Towards Strawberry Tabletop Yield Forecasting
George Onoufriou, Marc Hanheide, Georgios Leontidis
Temporal Transformer Yield Prediction Strawberry Tabletop Yield Forecasting

October 20, 2022

Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction
Jonathan Vance, Khaled Rasheed, Ali Missaoui, Frederick Maier, Christian Adkins, Chris Whitmire
Machine Learning Plant Monitoring Yield Prediction

August 26, 2022

Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
Florian Huber, Artem Yushchenko, Benedikt Stratmann, Volker Steinhage
Deep Learning Satellite Image Yield Prediction Extreme Gradient Boosting Crop Development

August 4, 2022

End-to-end deep learning for directly estimating grape yield from ground-based imagery
Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles
Deep Learning Yield Prediction Ground Based

May 18, 2022

A weakly supervised framework for high-resolution crop yield forecasts
Dilli R. Paudel, Diego Marcos, Allard de Wit, Hendrik Boogaard, Ioannis N. Athanasiadis
New Framework Yield Prediction Crop Yield Prediction Strawberry Tabletop Yield Forecasting

March 26, 2022

AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides
Bolesław L. Osinski, Aïcha BenTaieb, Irvin Ho, Ryan D. Jones, Rohan P. Joshi, Andrew Westley, Michael Carlson, Caleb Willis, Luke Schleicher, Brett M. Mahon, Martin C. Stumpe
Image Processing Yield Prediction Tumor Cell Corresponding Yield Stress Value Formalin Fixed Paraffin Embedded

March 1, 2022

Render-in-the-loop aerial robotics simulator: Case Study on Yield Estimation in Indoor Agriculture
Antun Ivanovic, Marsela Polic, Jelena Tabak, Matko Orsag
Case Study Simulation Environment Yield Prediction Polyculture Garden

February 28, 2022

Pattern Based Multivariable Regression using Deep Learning (PBMR-DP)
Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J Darr
Deep Learning Complex Pattern Fast Learning Image Sensor Yield Prediction Multivariate Regression Model Output

November 15, 2021

Two-dimensional Deep Regression for Early Yield Prediction of Winter Wheat
Giorgio Morales, John W. Sheppard
Convolutional Neural Network Precision Agriculture Convolutional Neural Network Architecture Yield Prediction Crop Yield Prediction Winter Wheat

Yield Prediction

Papers

Improve State-Level Wheat Yield Forecasts in Kazakhstan on GEOGLAM's EO Data by Leveraging A Simple Spatial-Aware Technique

Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing

Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction

Counterfactual Explanations of Neural Network-Generated Response Curves

Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach

High-Dimensional Yield Estimation using Shrinkage Deep Features and Maximization of Integral Entropy Reduction

Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by Knowledge Distillation

Premonition Net, A Multi-Timeline Transformer Network Architecture Towards Strawberry Tabletop Yield Forecasting

Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction

Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches

End-to-end deep learning for directly estimating grape yield from ground-based imagery

A weakly supervised framework for high-resolution crop yield forecasts

AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides

Render-in-the-loop aerial robotics simulator: Case Study on Yield Estimation in Indoor Agriculture

Pattern Based Multivariable Regression using Deep Learning (PBMR-DP)

Two-dimensional Deep Regression for Early Yield Prediction of Winter Wheat