SOTAVerified

Crop Yield Prediction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 48 papers

TitleStatusHype
DiffusionSat: A Generative Foundation Model for Satellite ImageryCode2
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impactsCode1
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction taskCode1
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield PredictionCode1
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping ParametersCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
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
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed ManipulationCode1
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
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
Recent applications of machine learning, remote sensing, and iot approaches in yield prediction: a critical review—0
Revolutionizing Global Food Security: Empowering Resilience through Integrated AI Foundation Models and Data-Driven Solutions—0
Spatial-temporal Multi-Task Learning for Within-field Cotton 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
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction—0
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All datasets2018 Syngenta (2016 val)SICKLE

Benchmark Results

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