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Non-Contact Ultrasonic Based Stiffness Evaluation System for Tomatoesduring Shelf-Life Storage

机译:基于非接触超声波的番茄保质期刚度评估系统

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This paper addresses a use of the non-contact ultrasonic based stiffness or firmness measurement technique for tomatoes quality judgment. Here, both the change in received acoustic signal attenuation and its propagation delay due to variation in stiffness of tomatoes are recorded over a time period from fresh to full ripen cycle of tomato. The experimental setup consist of ultrasonic transducer (400EP14D) have center frequency 40 KHz with 1350 typical beam angle, interface circuit to connect with ARM9 processor using the Linux OS with qtopia based GUI for data acquisition and further analysis purpose. The data obtained by the developed system is also transferred to PC using Zigbee wireless network for further processing and training using various pattern recognitions techniques under the developed system software package. A second order nonlinear relationship between the attenuation, propagation delay was observed until the end of shelf life of tomatoes under test. The ARM9 based developed system helps both in linearization and auto calibration of the measured data well as has advantage of multiple sensor connectivity for different analysis like temperature and humidity compensation. The results obtained are also validated using standard Alpha-Mos system consists of 12 gas sensors using odor sensing technique. Thus the developed noncontact ultrasonic based system is cost effective, low power and compact system to differentiate between quality (mature and immature) of tomatoes as well as prediction of different factors like chilling injury, TSWV (tomato spotted wilt virus), sunscald and it can be further applied to other types of fruits where stiffness change is major factor for quality of the fruit.
机译:本文探讨了基于非接触超声的硬度或硬度测量技术在番茄质量判断中的应用。在此,记录从番茄的新鲜到完全成熟周期的一段时间内由于番茄的刚度变化而导致的接收到的声信号衰减的变化及其传播延迟。实验装置包括超声换能器(400EP14D),其中心频率为40 KHz,典型波束角为1350,使用Linux OS和基于qtopia的GUI与ARM9处理器连接的接口电路,用于数据采集和进一步分析。由开发的系统获得的数据也将使用Zigbee无线网络传输到PC,以便在开发的系统软件包下使用各种模式识别技术进行进一步处理和训练。观察到衰减,传播延迟之间的二阶非线性关系,直到被测西红柿的货架期结束。基于ARM9的开发系统可帮助对测量数据进行线性化和自动校准,并具有多传感器连接的优势,可进行温度和湿度补偿等不同分析。使用标准的Alpha-Mos系统(包括12个使用气味感应技术的气体传感器)验证了所获得的结果。因此,开发的基于非接触式超声波的系统具有成本效益,低功耗和紧凑的系统,可区分番茄的质量(成熟和未成熟),并预测诸如冷害,TSVV(番茄斑萎病),晒黑的各种因素,并且可以可进一步应用于刚度变化是影响水果质量的主要因素的其他类型的水果。

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