scispace - formally typeset
Open AccessJournal ArticleDOI

Improvement in sensitivity of an inductive oil palm fruit sensor.

Reads0
Chats0
TLDR
The results pertaining to the effects of the air coil structure of an oil palm fruit sensor are investigated and the efficiency of the sensor to determine the maturity of the oil palm FFB and the ripening process of the fruitlet could further be enhanced.
Abstract
Among palm oil millers, the ripeness of oil palm Fresh Fruit Bunch (FFB) is determined through visual inspection. To increase the productivity of the millers, many researchers have proposed with a new detection method to replace the conventional one. The sensitivity of such a sensor plays a crucial role in determining the effectiveness of the method. In our preliminary study a novel oil palm fruit sensor to detect the maturity of oil palm fruit bunches is proposed. The design of the proposed air coil sensor based on an inductive sensor is further investigated to improve its sensitivity. This paper investigates the results pertaining to the effects of the air coil structure of an oil palm fruit sensor, taking consideration of the used copper wire diameter ranging from 0.10 mm to 0.18 mm with 60 turns. The flat-type shape of air coil was used on twenty samples of fruitlets from two categories, namely ripe and unripe. Samples are tested with frequencies ranging from 20 Hz to 120 MHz. The sensitivity of the sensor between air to fruitlet samples increases as the coil diameter increases. As for the sensitivity differences between ripe and unripe samples, the 5 mm air coil length with the 0.12 mm coil diameter provides the highest percentage difference between samples and it is amongst the highest deviation value between samples. The result from this study is important to improve the sensitivity of the inductive oil palm fruit sensor mainly with regards to the design of the air coil structure. The efficiency of the sensor to determine the maturity of the oil palm FFB and the ripening process of the fruitlet could further be enhanced.

read more

Citations
More filters
Journal ArticleDOI

Application of an inductive sensor system for identifying ripeness and forecasting harvest time of oil palm.

TL;DR: In this article, an inductive sensor system was used to determine the oil palm ripeness with an accuracy of 100 % and forecast the harvest time with RMSE of 13.45.
Journal ArticleDOI

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

TL;DR: The inductive method of theOil palm fruit maturity sensor can be used to detect the change in water content for ripeness detection of the oil palm FFB.
Journal ArticleDOI

Prediction of Date Fruit Quality Attributes during Cold Storage Based on Their Electrical Properties Using Artificial Neural Networks Models

TL;DR: In this paper , the authors used Artificial Neural Networks (ANNs) to predict physicochemical properties of date fruits during cold storage based on their electrical properties using a high-precision LCR (inductance, capacitance, and resistance) meter.
Journal ArticleDOI

Dual Resonant Frequencies Effects on an Induction-Based Oil Palm Fruit Sensor

TL;DR: Results from the comparative study proved that the inductive sensor using a dual flat-type shape air coil has improved by up to 167%.
Journal ArticleDOI

Triple Flat-Type Inductive-Based Oil Palm Fruit Maturity Sensor.

TL;DR: The development of this sensor proves the capability of an inductive element such as a coil, to be used as a sensor so as to determine the ripeness of the oil palm fresh fruit bunch sample.
References
More filters
Journal Article

Palm fruit chemistry and nutrition.

TL;DR: The palm fruit yields palm oil, a palmitic-oleic rich semi solid fat and the fat-soluble minor components, vitamin E (tocopherols, tocotrienols), carotenoids and phytosterols, characterized by its high content of phenolic acids and flavonoids, which pose both challenges and opportunities for the food and nutraceutical industries.
Journal ArticleDOI

Extraction and physicochemical properties of low free fatty acid crude palm oil.

TL;DR: In this paper, a central composite design was employed to study the responses, namely percentage of free fatty acids (FFA) and oil yield, and the optimum conditions for minimum FFA and maximum oil yield were identified from their respective contour plots.
Journal ArticleDOI

Oil palm fruit bunch grading system using red, green and blue digital number.

TL;DR: In this article, an automated grading system for oil palm bunches using the RGB color model was developed to distinguish between the three different categories of oil palm fruit bunches, i.e., red, green and blue.
Journal ArticleDOI

Stepwise Discriminant Analysis for Colour Grading of Oil Palm Using Machine Vision System

TL;DR: In this article, the quality feature of an ordinary Elgaeis guineensis oil palm was quantified using a computer vision model in order to inspect and grade the oil palm fresh fruit bunches by an automated production system.
Journal ArticleDOI

Classification of oil palm fresh fruit bunches based on their maturity using portable four-band sensor system

TL;DR: In this paper, a multi-band portable, active optical sensor system, comprising of four spectral bands, 570, 670, 750, and 870nm, was used to detect oil palm fresh fruit bunch (FFB) maturity.
Related Papers (5)