Fruit Ripeness
A sensor that measures fruit skin impedance to determine ripeness, providing farmers and distributors with actionable data to optimize food handling, reduce waste, and lower operating costs.
Overview
The Fruit Ripeness project develops an innovative sensor that detects changes in fruit skin impedance to non-destructively measure ripeness for integration into fruit processing lines. The system tracks capacitance changes at the µF level and is being paired with a machine learning data processing engine.
Goals
- Design a commercially viable fruit ripeness sensor
- Establish a comprehensive fruit skin impedance and ripeness database
- Optimize sensor performance and unit cost