Fruit Monitoring and Harvest Date Prediction Using On-Tree Automatic Image Tracking

The main objectives of this project are to monitor fruit growth and predict optimal harvest dates using on-tree automatic image tracking. It focuses on capturing fruit images over time to analyze size, color, and ripeness using computer vision techniques. The goal is to support precision agriculture by improving harvest timing and reducing manual monitoring efforts.