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Crop Classification

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 41–48 of 48 papers

Title	Date	Tasks	Status	Hype
In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data	Mar 25, 2024	Crop ClassificationMultimodal Deep Learning	CodeCode Available	0
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides	Nov 20, 2018	Crop ClassificationDiagnostic	CodeCode Available	0
Crop identification using deep learning on LUCAS crop cover photos	May 8, 2023	Crop ClassificationDeep Learning	CodeCode Available	0
Low-Resource Crop Classification from Multi-Spectral Time Series Using Lossless Compressors	May 28, 2024	Crop ClassificationDeep Learning	CodeCode Available	0
Activation Regression for Continuous Domain Generalization with Applications to Crop Classification	Apr 14, 2022	Crop ClassificationDomain Adaptation	CodeCode Available	0
On the Generalizability of Foundation Models for Crop Type Mapping	Sep 14, 2024	Crop ClassificationCrop Type Mapping	CodeCode Available	0
A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation	May 25, 2025	Crop ClassificationData Augmentation	CodeCode Available	0
End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping	Jan 30, 2019	ClassificationCrop Classification	CodeCode Available	0

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All datasets CropHarvest - Kenya CropHarvest - Togo CropHarvest - Brazil CropHarvest - Global CropHarvest multicrop - Global

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PrestoR - no DW	Target Binary F1	0.86	—	Unverified
2	Feature-level fusion (sum)	Target Binary F1	0.79	—	Unverified
3	Gated Fusion (Feature-level)	Target Binary F1	0.77	—	Unverified
4	Radar TS with TempCNN	Average Accuracy	0.68	—	Unverified
5	Input Fusion with TAE	Average Accuracy	0.67	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Ensemble aggregation with GRU	Average Accuracy	0.84	—	Unverified
2	Ensemble aggregation	Average Accuracy	0.84	—	Unverified
3	Decision fusion with GRU	Average Accuracy	0.83	—	Unverified
4	PrestoR	Target Binary F1	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Feature fusion with LSTM	Average Accuracy	0.98	—	Unverified
2	Hybrid fusion with LSTM	Average Accuracy	0.97	—	Unverified
3	PrestoR	Target Binary F1	0.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Feature Gated Fusion	Average Accuracy	0.85	—	Unverified
2	Input Fusion	Average Accuracy	0.85	—	Unverified
3	Ensemble strategy	Average Accuracy	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Input Fusion	Average Accuracy	0.74	—	Unverified
2	Feature Gated Fusion	Average Accuracy	0.73	—	Unverified
3	Ensemble strategy	Average Accuracy	0.72	—	Unverified