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Crop Yield Prediction

Papers

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Showing 26–48 of 48 papers

TitleStatusHype
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction—0
Wheat Crop Yield Prediction Using Deep LSTM Model—0
Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application—0
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning—0
A Deep Learning Model for Heterogeneous Dataset Analysis -- Application to Winter Wheat Crop Yield Prediction—0
A Hybrid Deep Learning-based Approach for Optimal Genotype by Environment Selection—0
Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression—0
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt—0
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning—0
CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks—0
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing—0
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data—0
Graph Sparsification for GCN Towards Optimal Crop Yield Predictions—0
Hybrid Machine Learning Models for Crop Yield Prediction—0
Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield Prediction—0
Integrating processed-based models and machine learning for crop yield prediction—0
Integrating remote sensing data assimilation, deep learning and large language model for interactive wheat breeding yield prediction—0
MT-CYP-Net: Multi-Task Network for Pixel-Level Crop Yield Prediction Under Very Few Samples—0
Multi-modal Data Fusion and Deep Ensemble Learning for Accurate Crop Yield Prediction—0
Naïve Bayes and Random Forest for Crop Yield Prediction—0
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level—0
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities—0
Predictive Heterogeneity: Measures and Applications—0
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All datasets2018 Syngenta (2016 val)SICKLE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TransformerRMSE9.28—Unverified
#ModelMetricClaimedVerifiedStatus
1U-TAEMAPE (%)49.63—Unverified