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Found 3 papers, 1 papers with code
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters
Out of the 2, 370 samples, 351 paddy samples from 145 plots are annotated with multiple crop parameters; such as the variety of paddy, its growing season and productivity in terms of per-acre yields.
Ranked #1 on
Crop Yield Prediction
on SICKLE
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production
We also propose a yield prediction strategy that uses time-series data generated based on the observed growing season and the standard seasonal information obtained from Tamil Nadu Agricultural University for the region.
Crop Type Identification for Smallholding Farms: Analyzing Spatial, Temporal and Spectral Resolutions in Satellite Imagery
The F1-score is increased by 7% when using multispectral data of MSTR images as compared to the best results obtained from HSTR images.
