Development of a machine vision system for automatic date grading using digital reflective near-infrared imaging
نویسندگان
چکیده
Quality evaluation of agricultural and food products is important for processing, inventory control, and marketing. Fruit size and skin delamination are two important quality factors for the date industry, especially for high quality dates such as Medjools. Unlike other near-infrared spectrometric approaches, the developed machine vision system uses reflective near-infrared imaging to evaluate date quality by analyzing two-dimensional images. This paper presents the development and test results of a machine vision system for automatic date quality evaluation for commercial production. Near-infrared imaging, vision algorithms, and a variety of operational details of the system, including cameras, optics, illumination, electronics, control, and fruit carrier are presented. The complete machine vision system has been built, field tested, and installed in a date packing facility. Relative to manual grading, the operational system results in improved grading accuracy and a substantial reduction in operating costs. 2007 Elsevier Ltd. All rights reserved.
منابع مشابه
Surface Defects Detection of Red Jujube Based on Near-Infrared Vision System
Quality evaluation of agricultural and food products is important for processing, inventory control, and marketing. Fruit surface defects are important quality factors for the jujube industry, especially for high quality jujubes such as Xinjiang red jujube. This paper presents the development and test results of a machine vision system for automatic jujube surface defects detection. Unlike othe...
متن کاملPresentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures
Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...
متن کاملPresentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures
Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...
متن کاملImproving 3-D Imaging Breast Cancer Diagnosis Systems Using a New Method for Placement of Near-Infrared Sources and Detectors
The objective of this research was to improve 3-D imaging system by near-infrared light emission in breast tissue to achieve a more accurate diagnosis of tumor. The results of repeated experiments in this research have shown that with this imaging system, a more accurate diagnosis of abnormal area depends on the location of the sources and detectors. Therefore, an optimal location model has bee...
متن کاملDevelopment of an Intelligent Virtual Grader for Estimation of Fruit Quality
Food industry is amongst the industries that largely use machine vision for inspection of produce. Machine vision systems benefit from specially designed digital image processing software to accomplish this task. Color provides valuable information in examining the freshness and estimating the maturity of fruits. The development of an intelligent virtual grader is presented for automatic gradin...
متن کامل