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Relative Estimation of Water Content for Flat-Type Inductive-Based Oil Palm Fruit Maturity Sensor
Norhisam Misron1,2, Nor Aziana Aliteh3, Noor Hasmiza Harun4
1Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia. norhisam@upm.edu.my.
Sensors (Basel, Switzerland)
|December 31, 2016
Summary
This study introduces an inductive sensor using resonant frequency to accurately determine oil palm fresh fruit bunch (FFB) maturity. The sensor detects changes in water content, offering a reliable alternative to manual grading.
Area of Science:
- Agricultural Engineering
- Sensor Technology
- Electrical Engineering
Background:
- Traditional oil palm fresh fruit bunch (FFB) ripeness grading relies on human inspectors, leading to inconsistencies and inaccuracies.
- Existing automated methods for FFB ripeness assessment have not utilized inductive principles.
- Developing an objective and reliable method for FFB maturity detection is crucial for the palm oil industry.
Purpose of the Study:
- To investigate the feasibility of a flat-type inductive sensor for assessing oil palm FFB maturity.
- To establish a relationship between resonant frequency and FFB maturity over time.
- To correlate sensor readings with the moisture content of oil palm FFB.
Main Methods:
- Utilized a flat-type inductive sensor based on resonant frequency technique.
- Tested oil palm FFB samples across a frequency range of 20 Hz to 10 MHz.
- Analyzed the resonance frequency of an air coil in relation to FFB maturity stages.
- Compared sensor-derived resonance frequencies with measured moisture content.
Main Results:
- A linear relationship was observed between resonance frequency (MHz) and time (Weeks) for oil palm FFB.
- Pre-mature (Week 10) and mature (Week 18) FFB samples showed distinct resonance frequencies around 8.5 MHz and 9.8 MHz, respectively.
- The sensor's resonance frequency readings correlated with the percentage of moisture content in the FFB.
Conclusions:
- The inductive sensor based on resonant frequency is a viable method for detecting oil palm FFB maturity.
- The sensor effectively identifies changes in water content, a key indicator of ripeness.
- This technology offers a consistent and accurate alternative to conventional manual grading of oil palm FFB.
Keywords:
air coilinductive conceptmaturity classificationmoisture contentoil palmresonance frequencyMore Related Videos
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