Abstract: The evaluation of seed quality is important for agricultural output, yet conventional techniques are still physically demanding, inaccurate, and capable of mistakes. This study presents a ...
Abstract: The ability to deliver results promptly has become crucial for analytical frameworks due to the swift increase in data volumes. Complex algorithms are needed to schedule data processing ...
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