S. Bala Naga Pranav, T. R. Kaushek Kumar, J. Hari Prakash, S. Sharan, M. Ganesan
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With all these constraints, the result is calculated by the microprocessor and is displayed in a 16x2 LCD display. The testing process of the device involved many fruits and vegetables. In this work two common fruits (Mango, Banana) and a common vegetable (Tomato) was deeply analyzed and found that the concentration of Ethylene is very much higher than 300 ppm in the fruits or vegetables which are highly decayed and are considered as unfit for the human consumption. It was also found that the ppm curve with respect to time axis derived from the sensor shows a very less deviation for the highly fresh fruits or vegetables. This device can be implemented in all food-based industries where there is a necessity to compute the freshness of fruits and vegetables. 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引用次数: 3
摘要
为了了解水果和蔬菜的新鲜度,总是有必要建立一个可以自动检测新鲜度的设备。本文的目的是建立一种测量水果和蔬菜质量的装置,并根据其可食性提供输出。Arduino UNO(微处理器)以及MQ2, MQ4(气体传感器Mĭngăn q / lai 2,4)和IR(红外)传感器用于检测以ppm(百万分之一)为单位的甲烷(CH4)和乙烯(C2H4)的浓度。结果发现,水果在过度成熟后开始分解,所有水果和蔬菜的乙烯浓度为300ppm(乙烯)。分解会产生微量的甲烷气体,MQ4传感器也可以检测到这种气体。在所有这些约束条件下,结果由微处理器计算并显示在16x2 LCD显示器上。该设备的测试过程涉及许多水果和蔬菜。本研究对两种常见的水果(芒果、香蕉)和一种常见的蔬菜(番茄)进行了深入分析,发现乙烯在高度腐烂的水果或蔬菜中的浓度远远高于300ppm,被认为不适合人类食用。还发现,从传感器得出的ppm曲线相对于时间轴的偏差对高度新鲜的水果或蔬菜来说非常小。该设备可用于所有需要计算水果和蔬菜新鲜度的食品行业。该设备的简单性和成本效益使其成为每个人都可以使用的完美产品。
Freshness Estimator for Fruits and Vegetables Using MQ Sensors
To understand the freshness of fruits and vegetables, there is always a necessity to build a device that can automate the process of detecting the freshness. The objective of this paper is to build a device that measures the quality of fruit and vegetables and provides an output based on its edibility. Arduino UNO (microprocessor) along with MQ2, MQ4 (gas sensors Mĭngăn Qǐ lai 2, 4) and IR (Infra-Red) sensors are used to detect the concentration of Methane (CH4) and Ethylene (C2H4) in ppm (Parts Per Million). It was found that the excess ripening after which the fruit starts decomposing has a concentration of 300ppm (Ethylene) for all fruits and vegetables. The decomposition results in producing trace amounts of Methane gas, which is also detected using the MQ4 sensor. With all these constraints, the result is calculated by the microprocessor and is displayed in a 16x2 LCD display. The testing process of the device involved many fruits and vegetables. In this work two common fruits (Mango, Banana) and a common vegetable (Tomato) was deeply analyzed and found that the concentration of Ethylene is very much higher than 300 ppm in the fruits or vegetables which are highly decayed and are considered as unfit for the human consumption. It was also found that the ppm curve with respect to time axis derived from the sensor shows a very less deviation for the highly fresh fruits or vegetables. This device can be implemented in all food-based industries where there is a necessity to compute the freshness of fruits and vegetables. The simplicity and cost-efficiency of the device makes it a perfect product that can be used by everyone.