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.

[WACV 2023] Information and scripts for the CropAndWeed Dataset

[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies

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

EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.

Public repository of our IGARSS 2023 submission

Crop classification in the Cauvery Delta Zone using a multichannel based transformer model

Public repository of our work in the search for an optimal multi-view crop classifier (considering encoder architectures and fusion strategies)

Preprocessing and harmonization scripts for IACS/GSA data.

Public repository of our IGARSS 2023 submission

[TGRS21] Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations