Title
Special System for Classifying and Sorting Walnut Base on Image Processing
Authors
Ehsan Sheidaee, Pourya Bazyar* and Mohmmad Hosseinpour-Zarnaq
Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj – Iran.
*Corresponding author E-mail address: pourya.bazyar@ut.ac.ir (Pourya Bazyar)
Article History
Publication details: Received: 08th June 2022; Revised: 06th September 2022; Accepted: 06th September 2022; Published: 19th September 2022
Cite this article
Sheidaee E.; Bazyar P.; Hosseinpour-Zarnaq M. Special System for Classifying and Sorting Walnut Base on Image Processing. Green Rep., 2022, 3(9), 1-5.
Abstract
One of the exhausting and pricy works in the agriculture is sorting product. It is crucial to choose the best sorting method for Walnut because there is colossal number of Walnut farms in Iran. In this study, properties of the 100 walnuts (Juglans regia L.) shape, such as thickness, width, length and shape index were investigated experimentally. The imaging system especially the pre-processing level was designed to modify any noises. The binary process implemented to identify the objects on white color sample in black background. According to the range of indicators, all walnuts were divided into three groups including small, medium and large. The proposed machine learning method was development by regression analysis with sigmoid function for find relationship between output variable from one or more input variables. Thus, the correlation coefficient of R2= 0.9. This research focuses on postharvest processing, specifically the advantages of machine learning for sorting system.
Keywords
Postharvest; Sorting; Image Processing; AI; Walnut
