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Mapping Rice Paddy with Deep Learning by Farhan Kurniawan is a document available to read on EtoBox.

The article discusses a novel method for mapping rice paddy distribution using remote sensing by combining phenological methods with deep learning, referred to as the pheno-deep method. This approach allows for high accuracy mapping without the need for extensive field samples, achieving an overall accuracy of 88.8% in the case study conducted in Jin’an District, Anhui Province, China. The pheno-deep method effectively integrates knowledge-based and data-driven techniques to enhance the spatial prediction o

Author

Farhan Kurniawan

Language

EN