SOTAVerified

Crop Yield Prediction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–48 of 48 papers

TitleStatusHype
Wheat Crop Yield Prediction Using Deep LSTM Model—0
Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application—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
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing DataCode0
Crop Yield Prediction Using Deep Neural NetworksCode0
Counterfactual Explanations of Neural Network-Generated Response CurvesCode0
Cotton Yield Prediction Using Random ForestCode0
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield PredictionCode0
Corn Yield Prediction Model with Deep Neural Networks for Smallholder Farmer Decision Support SystemCode0
Generative weather for improved crop model simulationsCode0
CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision TransformersCode0
A CNN-RNN Framework for Crop Yield PredictionCode0
Multimodal Performers for Genomic Selection and Crop Yield PredictionCode0
Multiple Instance Choquet Integral Classifier Fusion and Regression for Remote Sensing ApplicationsCode0
Show:102550
← PrevPage 2 of 2Next →
All datasets2018 Syngenta (2016 val)SICKLE

Benchmark Results

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