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Soil nitrogen forecasting from environmental variables provided by multisensor remote sensing images
This study introduces a framework for forecasting soil nitrogen content, leveraging multi-modal data, including multi-sensor remote sensing images and advanced machine learning methods. We integrate the Land Use/Land Cover Area Frame Survey (LUCAS) d
Externí odkaz:
http://arxiv.org/abs/2406.09812