Radiant MLHub

Looking further: a crop type classification model for fields

Looking further: a crop type classification model for fields
ml-model
random-forest
classification
supervised

This model classifies crop types for each field based on the field as well as on its surroundings. In the Zindi AgriFieldNet India Challenge this was the third place solution by the team re-union in the final round to classify crop types in agricultural fields across Northern India using multispectral observations from Sentinel-2 satellite.

Model ID

model_ecaas_agrifieldnet_bronze_v1

DOI

10.34911/rdnt.iaki1s

Creator

MG Ferreira, Tien Dung

License

CC-BY-4.0

Applicable Temporal Extent

2022-01-01 / present

Citation

Ferreira, M.G. and Dung, T. "Looking further: a crop type classification model for fields", Version 1.0, Radiant MLHub. [Date Accessed] Radiant MLHub <https://doi.org/10.34911/rdnt.iaki1s>

Inferencing Image Example

docker pull docker.io/radiantearth/model_ecaas_agrifieldnet_bronze:1

Assets and Links

Inference RuntimeModel Inferencing Runtime
CheckpointFinal Model Checkpoint
Training DataAgriFieldNet Competition Dataset - Source Imagery, AgriFieldNet Competition Dataset - Train Labels
Inferencing Image
docker.io/radiantearth/model_ecaas_agrifieldnet_bronze:1
Related MLHub DatasetAgriFieldNet Competition Dataset

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