Misron Norhisam, Aliteh Nor Aziana, Harun Noor Hasmiza, Tashiro Kunihisa, Sato Toshiro, Wakiwaka Hiroyuki
Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
Institute of Advance Technology (ITMA), Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
Sensors (Basel). 2016 Dec 28;17(1):52. doi: 10.3390/s17010052.
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.
本文旨在研究一种通过基于共振频率技术的平板型电感概念来识别油棕果串成熟度的传感器。传统上，人工分级员用于检查油棕鲜果串（FFB）的成熟度，这可能不一致且不准确。为了对油棕FFB的成熟度进行分级，人们提出了各种新方法，但都没有采用电感概念。在本研究中，对空心线圈的共振频率进行了研究。用油棕FFB样本在20 Hz至10 MHz的频率范围内进行测试，所得结果表明共振频率（MHz）与时间（周）的关系图呈线性关系。据观察，第10周（未成熟）和第18周（成熟）获得的共振频率分别约为8.5 MHz和9.8 MHz。将这些结果与水分含量百分比进行比较。因此，油棕果实成熟度传感器的电感方法可用于检测水分含量的变化，以检测油棕FFB的成熟度。
