crop classification using deep learning on satellite images
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May 31, 2026 - Python
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crop-classification
Here are 30 public repositories matching this topic...
[WACV 2023] Information and scripts for the CropAndWeed Dataset
benchmark computer-vision deep-learning agriculture detection crop plants dataset classification farming segmentation object-detection phenotyping semantic-segmentation weed crops plant-monitoring weeds crop-classification weed-detection
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Apr 22, 2023 - Python
Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
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Nov 6, 2024 - Jupyter Notebook
Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
deep-learning recurrent-neural-networks convolutional-neural-networks plant-identification plant-classification hgo-cnn crop-classification plant-recognition deep-plant
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Mar 22, 2020 - Python
Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020
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May 29, 2020 - Jupyter Notebook
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
deep-learning pytorch remote-sensing gru rnn convolutional-neural-networks lstm-neural-networks crop-classification convlstm-network
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Oct 23, 2023 - Python
Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published in KDD Applied Data Science Track 2020
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Aug 18, 2020 - Python
EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.
machine-learning deep-learning agriculture torch dataset earth-observation sentinel-2 crop-classification
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Jan 16, 2026 - Python
A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitoring.
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Aug 2, 2022 - Jupyter Notebook
Public repository of our IGARSS 2023 submission
remote-sensing agriculture-research data-fusion multimodal-learning multiview-learning multi-view-learning remote-sensing-image crop-classification multi-modal-learning datafusion multisensor-fusion croptypes crop-type-mapping crop-type-mapp
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Jul 18, 2025 - Python
Crop Classification of Remotely Sensed Images containing Multi Temporal and Multispectral Information
cnn remote-sensing ensemble-learning metric-learning multispectral-images multitemporal-remote-sensing crop-classification
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Aug 9, 2020 - Jupyter Notebook
Python data pipeline to acquire, clean, and calculate vegetation indices from Sentinel-2 satellite image. Package is available only for our clients.
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Feb 9, 2022
Crop classification in the Cauvery Delta Zone using a multichannel based transformer model
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May 12, 2022 - Python
Public repository of our JAG paper
deep-learning sensor-fusion multi-view-learning neural-network-architectures cropland-mapping crop-classification multi-modal-learning
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Sep 10, 2025 - Python
Crop classification from Sentinel-2 imagery using Graph Convolutional Networks (PyTorch Geometric) | 99.9%% accuracy | Interactive Streamlit demo
machine-learning computer-vision deep-learning agriculture geospatial pytorch remote-sensing satellite-imagery gcn sentinel-2 graph-neural-networks crop-classification pytorch-geometric gnn land-cover-classification
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May 3, 2026 - Jupyter Notebook
Preprocessing and harmonization scripts for IACS/GSA data.
machine-learning big-data land earth-observation land-use gsa reference-data crop-classification field-level iacs gsaa farm-information
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Jun 1, 2026 - Python
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Aug 24, 2021 - HTML
Multi-class crop classification in Elgabel Region, Sudan using Sentinel-2 imagery with scikit-learn (MLP, XGBoost, Random Forest) and PyTorch deep learning (CNN1D, Hybrid CNN+MLP, Transformer). Achieves 100% accuracy with FocalLoss, SMOTE, and class weighting.
machine-learning deep-learning random-forest geospatial pytorch remote-sensing xgboost google-earth-engine sentinel-2 sudan crop-classification
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Jan 29, 2026 - Python
Public repository of our IGARSS 2023 submission
remote-sensing agriculture-research data-fusion multimodal-learning multiview-learning multi-view-learning crop-classification multi-modal-learning datafusion multisensor-fusion croptypes crop-type-mapping
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Jul 11, 2024 - Python
Machine Learning classification of cropland vs non-cropland using Sentinel-2 satellite imagery and vegetation indices. Achieving 100% accuracy through spectral analysis in Ghana's Brong-Ahafo region. Built with Python, Scikit-learn, and Google Earth Engine.
machine-learning agriculture geospatial remote-sensing satellite-imagery google-earth-engine sentinel2 crop-classification
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Sep 16, 2025 - Jupyter Notebook
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