Development of an optimally designed real-time automatic citrus fruit grading-sorting​ machine leveraging computer vision-based adaptive deep learning model.

Conventional automation approaches for postharvest operations are plagued by time and data inefficiency seldom leading to suboptimal solutions. Automatic machines often require highly skilled software professionals for calibration and reconfiguration thus making the technology prone to high costs.