A smart sensing system for the fig drying process

D. Buonocore, M. Carratù, G. Ciavolino, D. Di Caro, C. Liguori, A. Pietrosanto
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Abstract

In recent years, emerging technologies have allowed the measurement, analysis, and control of many processes. Many researchers have taken particular attention to developing smart sensing solutions for different fields, such as Smart Industries, Smart Metering, Smart Building, and so on. However, this new enabling and emerging technologies can also be used to analyze and improve craft operation processes in agriculture. An example is the natural fig drying process, usually made adopting only natural sources. In this case, the process is regulated by the availability of unpredictable climate conditions, so the correct detection of the drying process ending point represents an essential aspect of improving the drying process throughput. The paper aims to describe the design of a smart sensing system made for monitoring the fig drying process, measuring different parameters such as the drying temperature and relative humidity and correlating them with the weight loss and water activity of figs. The analysis of data collected during the drying process has been reported and discussed to demonstrate its effectiveness in speeding up the drying process.
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无花果干燥过程智能传感系统
近年来,新兴技术已经允许对许多过程进行测量、分析和控制。许多研究者特别关注智能传感解决方案的开发,如智能工业、智能电表、智能建筑等不同领域。然而,这种新的支持和新兴技术也可用于分析和改进农业中的工艺操作过程。一个例子是天然无花果干燥过程,通常只采用天然原料。在这种情况下,该过程是由不可预测的气候条件的可用性调节的,因此干燥过程终点的正确检测是提高干燥过程吞吐量的一个重要方面。本文设计了一种智能传感系统,用于监测无花果干燥过程,测量干燥温度和相对湿度等不同参数,并将其与无花果的失重和水分活性相关联。对干燥过程中收集的数据进行了分析,并进行了讨论,以证明其在加速干燥过程中的有效性。
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