Maize Seed Dataset

This dataset focuses on the classification of maize seeds using advanced deep learning techniques in conjunction with hyperspectral imaging. The primary objective is to overcome the challenges associated with deploying these computationally intensive methods on embedded devices, particularly due to the high power consumption of GPUs. By addressing these challenges, the goal is to develop an efficient, cost-effective maize classification tool that minimizes the need for human intervention. Hyperspectral imaging provides a powerful means of capturing detailed spectral information across a wide range of wavelengths, which is crucial for distinguishing between different maize varieties with high accuracy. This technology, when combined with deep learning algorithms, can significantly enhance the precision of maize seed classification.