Relative Estimation of Water Content for Flat-Type Inductive-Based Oil Palm Fruit Maturity Sensor

The paper aims to study the sensor that identifies the maturity of oil palm fruit bunches by using a flat-type inductive concept based on a resonant frequency technique. Conventionally, a human grader is used to inspect the ripeness of the oil palm fresh fruit bunch (FFB) which can be inconsistent a...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2017-01, Vol.17 (1), p.52-52
Main Authors: Misron, Norhisam, Aliteh, Nor Aziana, Harun, Noor Hasmiza, Tashiro, Kunihisa, Sato, Toshiro, Wakiwaka, Hiroyuki
Format: Article
Language:English
Subjects:
air coil
Coiling
Data analysis
Digital cameras
Fruits
Graphs
inductive concept
Magnetic resonance imaging
maturity classification
Moisture content
Monitoring systems
NMR
Nuclear magnetic resonance
oil palm
Palm
resonance frequency
Resonant frequencies
Sensors
Vegetable oils
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Summary:The paper aims to study the sensor that identifies the maturity of oil palm fruit bunches by using a flat-type inductive concept based on a resonant frequency technique. Conventionally, a human grader is used to inspect the ripeness of the oil palm fresh fruit bunch (FFB) which can be inconsistent and inaccurate. There are various new methods that are proposed with the intention to grade the ripeness of the oil palm FFB, but none has taken the inductive concept. In this study, the resonance frequency of the air coil is investigated. Samples of oil palm FFB are tested with frequencies ranging from 20 Hz to 10 MHz and the results obtained show a linear relationship between the graph of the resonance frequency (MHz) against time (Weeks). It is observed that the resonance frequencies obtained for Week 10 (pre-mature) and Week 18 (mature) are around 8.5 MHz and 9.8 MHz, respectively. These results are compared with the percentage of the moisture content. Hence, the inductive method of the oil palm fruit maturity sensor can be used to detect the change in water content for ripeness detection of the oil palm FFB.
ISSN:1424-8220
1424-8220
DOI:10.3390/s17010052