Palm oil sector is considered one of main economical contributions in countries such a Malaysia where approximately 6.1% of their Gross Domestic Product (GDP) is contributed. Low Oil Extraction Rate (OER) from poor quality fresh fruit bunches have led to a decrease the oil palm production. The traditional method of using human naked eye to inspect the Fresh Fruit Bunches (FFB) during reception process is one of common methods that is still being practiced which eventually would lead to inaccuracy in grading and harvesting. This paper presents a new approach to identify the maturity of oil palm fruit using fruit-based maturity sensor and the electronic circuit. The study utilizes multiple terminals to evaluate the sensitivity of the sensor by analyzing the relation between the load voltage and the moisture content in the oil palm fruit. The sensitivity of the sensor increased by three-fold when four terminal fruit battery was used compared to single terminals with 47.61% for the moisture range of 50-80% value. This proposed approach significantly improved the accuracy in grading the oil palm fruit which is the most common challenge posed during the reception process.

中文翻译：

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带充电切换的四端水果电池的实现

棕榈油部门被认为是马来西亚等国家的主要经济贡献之一，约占其国内生产总值 (GDP) 的 6.1%。劣质新鲜水果串的低油提取率 (OER) 导致油棕产量下降。在接收过程中使用肉眼检查新鲜水果串（FFB）的传统方法是仍在实践中的常用方法之一，最终会导致分级和收获的不准确。本文提出了一种使用基于果实的成熟度传感器和电子电路来识别油棕果实成熟度的新方法。该研究通过分析负载电压与油棕果实中水分含量之间的关系，利用多个终端来评估传感器的灵敏度。与单端子相比，使用四端子水果电池时，传感器的灵敏度提高了三倍，湿度范围为 50-80% 值时为 47.61%。这种提议的方法显着提高了油棕果实分级的准确性，这是接收过程中最常见的挑战。