Fruits and vegetables ripen at certain times of the year and must be ripe for consumption. However, in the short-term ripening period, some of the fresh vegetables and fruits that are more than the consumable amount deteriorate before they can be consumed. Picking up fruits and vegetables when they are ripe and drying the surplus for later use is the most common storage method. In recent years, where technology has developed rapidly, instead of drying in the sun, solutions are produced in which the drying processes are managed automatically by using the drying kinematics of the products. The most recent techniques manage the drying process by measuring the weight of the wet and dried products during heating. Also, different types of ovens such as microwave ovens are tried to increase the efficiency of the drying process. These are rather complex solutions. In this study, a smart system that manages the drying process in real-time by using the humidity in the environment instead of weight together with the drying kinematics of the product is designed. So the complexity of the system is simplified. Also, the total duration of the drying process is exactly estimated by using the moisture content in the environment and the drying model of the product. In the study, firstly, data on the drying stage were collected with the experiments made for each product. These data were processed in a Matlab environment and a drying model with a curve fitting method was developed for each product. The drying models developed in the study were loaded into the processor of the smart oven and the entire drying process was managed in real-time. With the developed system solution, when the process is started, the drying time is estimated according to the amount processed and the type of product, and the drying time of the drying process is estimated by using the moisture content in the environment and the drying model of the product. In this way, pre-drying and post-drying stages can be planned.

水果和蔬菜在一年中的某些时候成熟，必须成熟才能食用。但是，在短期熟化期，一些新鲜蔬菜和水果的消耗量超过了食用量，这些新鲜蔬菜和水果在食用之前就变质了。最常见的存储方法是在成熟的水果和蔬菜上捡起并将多余的食物干燥以备后用。近年来，在技术飞速发展的情况下，代替了在阳光下干燥，产生了解决方案，在这些解决方案中，通过使用产品的干燥运动学来自动管理干燥过程。最新技术通过测量加热过程中干湿产品的重量来管理干燥过程。而且，尝试了不同类型的烤箱，例如微波炉，以提高干燥过程的效率。这些是相当复杂的解决方案。在这项研究中，设计了一种智能系统，该系统通过使用环境中的湿度代替重量以及产品的干燥运动来实时管理干燥过程。因此简化了系统的复杂性。同样，通过使用环境中的水分含量和产品的干燥模型，可以准确地估算出干燥过程的总持续时间。在研究中，首先，收集干燥阶段的数据，并针对每种产品进行实验。这些数据在Matlab环境中进行处理，并针对每种产品开发了具有曲线拟合方法的干燥模型。研究中开发的干燥模型被加载到智能烤箱的处理器中，整个干燥过程得到实时管理。借助开发的系统解决方案，当过程开始时，根据处理量和产品类型估算干燥时间，并使用环境中的水分含量和产品干燥模型估算干燥过程的干燥时间。这样，可以计划干燥前和干燥后的阶段。