crop-classification topic
Deep-Plant
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.
Crop-Classification
crop classification using deep learning on satellite images
crop-type-detection-ICLR-2020
Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020
multi-stage-convSTAR-network
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
S4A
Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
cropandweed-dataset
Information and scripts for the CropAndWeed Dataset
multi-modal-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
Space2Ground
A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitoring.