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Found 3 papers, 3 papers with code
Country-Scale Cropland Mapping in Data-Scarce Settings Using Deep Learning: A Case Study of Nigeria
In this study, we explore the usefulness of combining a global cropland dataset and a hand-labeled dataset to train machine learning models for generating a new cropland map for Nigeria in 2020 at 10 m resolution.
Facilitated machine learning for image-based fruit quality assessment
Image-based machine learning models can be used to make the sorting and grading of agricultural products more efficient.
Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan Region
To this end, we developed an ML pipeline that relies on Sentinel-2 satellite images time series.
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