Document Type : Original Article
Authors
1
Assistant Professor, Department of Biosystems Mechanical Engineering, Lorestan University, Khoramabad, Iran
2
Associate Professor, Department of Biosystems Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran
3
Assistant Professor, Department of Biosystem Engineering, Faculty of Agriculture, Lorestan Universit, Lorestan, Iran.
10.22084/best.2025.30295.1001
Abstract
There are very few mechanized and intelligent methods for separating produced, especially agricultural products, and among them, products such as cherry tomatoes, which have a high production rate in Iran, require grading and sorting to help human resources increase productivity and prevent the fruit from opening during harvesting, grading, storage, and shipping to places of consumption. The device was designed using SolidWorks2019 software, and the data was analyzed with SPSS software and modeled with Abaqus software. This machine is capable of separating the mentioned fruit into three sizes: large, medium, and small diameters. Three treatments were considered based on size, variety, and moisture percentage. After being released on the belt, the fruits entered the perforated roller, which performed the sorting operation in three sizes. The purpose of this research was designed, construct, and evaluate this device, and to introduce a dedicated device for cherry tomatoes as a practical product in Iran. The results showed that by using the device, it was registered and presented for 100 cherry tomatoes and finally provided an acceptable answer with 89% correct separation. Modeling for the machine showed that the size model presented with a coefficient of explanation of 85% was significant. The regression model showed that by increasing the distance between the holes by one unit, the percentage of healthy fruit will increase by 67%. This value can be minimized by eliminating the causes of the error, and as a result, this device can be used for sorting cherry tomatoes with a high degree of reliability and high speed (89% resolution).
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