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while low spatial resolution images lack the necessary detail for accurate monitoring. StarFusion, a new spatiotemporal fusion method, aims to bridge this gap by combining data from high-resolution satellites to improve both spatial and temporal resolution. By utilizing deep learning and traditional regression models, StarFusion is able to enhance the accuracy and detail of satellite imagery, making it a valuable tool for crop monitoring and management in dynamic agricultural environments.