Automating Date Grading at Tamra Al-Khair

A predictive model that automates the grading of dates using visual features like size, color, and blemishes.

Python Pandas Scikit-learn Matplotlib NumPy Jupyter Notebook
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Project Overview

This project was developed for Tamra Al-Khair, a date farm in Al-Ahsa, Saudi Arabia, aiming to streamline the manual and subjective process of date grading. The model leverages supervised learning, specifically regression techniques, to predict a date’s grade based on numerical inputs such as length, width, weight, color intensity, and blemish percentage. The system handles missing data, scales features, and uses a pipeline to preprocess and evaluate data efficiently

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Project Details

  • Completion Date May 2025
  • Category Machine Learning
  • Project Type HTML File

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Automating Date Grading at Tamra Al-Khair