Fruit Battery with Charging Concept for Oil Palm Maturity Sensor.

Area of Science:

• Agricultural Engineering
• Sensor Technology
• Biophysics

Background:

• Oil extraction rate (OER) is significantly influenced by the quality of fresh fruit bunches (FFB) processed.
• Current visual inspection methods for FFB grading are prone to errors, inconsistency, and losses.
• Objective grading of FFB is crucial for optimizing national OER.

Purpose of the Study:

• To develop an automated fruit maturity sensor for oil palm FFB.
• To provide real-time accept/reject indications for FFB based on maturity grade.
• To enhance the accuracy and consistency of FFB grading in mills.

Main Methods:

• Utilized the fruit battery principle to measure fruit properties.
• Applied a charging concept to the fruit battery to amplify load voltage readings.
• Correlated amplified load voltage with fruit moisture content for maturity assessment.

Main Results:

• The charging process amplified load voltage readings by 4 times, increasing sensitivity.
• Developed a method to characterize FFB maturity grade based on moisture content and load voltage.
• Identified ripe fruits as those with <44% moisture content and an average load voltage (Vavg) between 20-30 mV.

Conclusions:

• The developed fruit maturity sensor offers a reliable and sensitive method for grading FFB.
• Automated grading using this sensor can reduce errors and losses associated with manual inspection.
• This technology has the potential to significantly improve OER through better FFB quality control.