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- Crop classification of satellite imagery using synthetic multitemporal and multispectral images in convolutional neural networks
- Crop identification by massive processing of multiannual satellite imagery for EU common agriculture policy subsidy control
- Detection model of similar datasets
- Evaluation of the Use of the 12 Bands vs. NDVI from Sentinel-2 Images for Crop Identification
- Finding a suitable sensing time period for crop identification using heuristic techniques with multi-temporal satellite images
- Identification of representative terms of datasets
- Model of datasets unification from different open data portals
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