Topic: crop-classification Goto Github
Some thing interesting about crop-classification
Some thing interesting about crop-classification
crop-classification,[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
User: 0zgur0
crop-classification,A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitoring.
Organization: agri-hub
crop-classification,Crop classification in the Cauvery Delta Zone using a multichannel based transformer model
User: ajigeo
crop-classification,crop classification using deep learning on satellite images
User: bhavesh907
crop-classification,Source code from 2022 AI CUP Competition on Crop Status Monitoring by Image Recognition.
User: chesterxalan
crop-classification,Python data pipeline to acquire, clean, and calculate vegetation indices from Sentinel-2 satellite image. Package is available only for our clients.
User: cnai-ds
crop-classification,Information and scripts for the CropAndWeed Dataset
Organization: cropandweed
crop-classification,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.
User: cs-chan
crop-classification,Public repository of our IGARSS 2023 submission
Organization: dfki-earth-and-space-applications
Home Page: https://doi.org/10.1109/IGARSS52108.2023.10282138
crop-classification,EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.
Organization: dida-do
Home Page: https://zenodo.org/doi/10.5281/zenodo.10629609
crop-classification,Crop Classification of Remotely Sensed Images containing Multi Temporal and Multispectral Information
User: firatkizilirmakk
crop-classification,Public repository of our IGARSS 2023 submission
User: fmenat
Home Page: https://doi.org/10.1109/IGARSS52108.2023.10282138
crop-classification,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
User: kkgadiraju
crop-classification,Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
Organization: orion-ai-lab
crop-classification,
User: pamelapairo
crop-classification,Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020
Organization: radiantearth
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