SOTAVerified

Crop Yield Prediction

Papers

Showing 125 of 48 papers

TitleStatusHype
DiffusionSat: A Generative Foundation Model for Satellite ImageryCode2
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping ParametersCode1
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction taskCode1
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed ManipulationCode1
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield PredictionCode1
Predicting crop yields with little ground truth: A simple statistical model for in-season forecastingCode1
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision TransformerCode1
Cotton Yield Prediction Using Random ForestCode0
Counterfactual Explanations of Neural Network-Generated Response CurvesCode0
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield PredictionCode0
Crop Yield Prediction Using Deep Neural NetworksCode0
Multimodal Performers for Genomic Selection and Crop Yield PredictionCode0
Multiple Instance Choquet Integral Classifier Fusion and Regression for Remote Sensing ApplicationsCode0
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing DataCode0
CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision TransformersCode0
A CNN-RNN Framework for Crop Yield PredictionCode0
Generative weather for improved crop model simulationsCode0
Corn Yield Prediction Model with Deep Neural Networks for Smallholder Farmer Decision Support SystemCode0
Recent applications of machine learning, remote sensing, and iot approaches in yield prediction: a critical review0
Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions0
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction0
Temporal Sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series0
Two-dimensional Deep Regression for Early Yield Prediction of Winter Wheat0
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Benchmark Results

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