SmartDate: AI-Driven Precision Sorting and Quality Control in Date Fruits

TL;DR

SmartDate is an AI-driven system that combines deep learning, genetic algorithms, and reinforcement learning to enhance sorting accuracy and quality assessment of date fruits using high-resolution imaging and spectral sensors.

Contribution

It introduces an integrated AI system that improves classification accuracy and shelf life prediction for dates, with real-time adaptation and optimized model parameters.

Findings

Achieved 94.5% classification accuracy

Attained 93.1% F1-score

Reached an AUC-ROC of 0.96

Abstract

SmartDate is an AI-powered system for automated sorting and quality control of date fruits. It combines deep learning, genetic algorithms, and reinforcement learning to improve classification accuracy and predict shelf life. The system uses high-resolution imaging and Visible-Near-Infrared (VisNIR) spectral sensors to evaluate key features such as moisture, sugar content, and texture. Reinforcement learning enables real-time adaptation to production conditions, while genetic algorithms optimize model parameters. SmartDate achieved 94.5 percent accuracy, 93.1 percent F1-score, and an AUC-ROC of 0.96. The system reduces waste and ensures that only high-quality dates reach the market, setting a new benchmark in smart agriculture.