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Crop Yield Prediction

Papers

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Showing 26–48 of 48 papers

TitleStatusHype
A Deep Learning Model for Heterogeneous Dataset Analysis -- Application to Winter Wheat Crop Yield Prediction—0
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning—0
Recent applications of machine learning, remote sensing, and iot approaches in yield prediction: a critical review—0
Graph Sparsification for GCN Towards Optimal Crop Yield Predictions—0
Counterfactual Explanations of Neural Network-Generated Response CurvesCode0
Predictive Heterogeneity: Measures and Applications—0
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data—0
Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression—0
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction—0
Temporal Sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series—0
Two-dimensional Deep Regression for Early Yield Prediction of Winter Wheat—0
Multimodal Performers for Genomic Selection and Crop Yield PredictionCode0
CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks—0
Wheat Crop Yield Prediction Using Deep LSTM Model—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
Hybrid Machine Learning Models for Crop Yield Prediction—0
A CNN-RNN Framework for Crop Yield PredictionCode0
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities—0
Crop Yield Prediction Using Deep Neural NetworksCode0
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction—0
Multiple Instance Choquet Integral Classifier Fusion and Regression for Remote Sensing ApplicationsCode0
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing DataCode0
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All datasets2018 Syngenta (2016 val)SICKLE

Benchmark Results

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