The project focuses on hyperspectral image analysis combined with machine learning for germ detection and precision agriculture. Approximately 100 image samples have been collected, and the data processing code has been developed and successfully executed on the available dataset, demonstrating the feasibility of using hyperspectral imaging for crop health and disease detection.
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