Journal ArticleDOI
Non-destructive classification of defective potatoes based on hyperspectral imaging and support vector machine
TLDR
It can be seen from the results that the potatoes with different types of internal and external defects can be identified more accurately and quickly using H SI technology, and they can be classified based on recognition, which provides a theoretical basis for the application of HSI technology in the actual potatoes automatic sorting system.About:
This article is published in Infrared Physics & Technology.The article was published on 2019-06-01. It has received 49 citations till now. The article focuses on the topics: Hyperspectral imaging & Support vector machine.read more
Citations
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Journal ArticleDOI
Machine vision for the maturity classification of oil palm fresh fruit bunches based on color and texture features
Anindita Septiarini,Andi Sunyoto,Hamdani Hamdani,Anita Ahmad Kasim,Fitri Utaminingrum,Heliza Rahmania Hatta +5 more
TL;DR: A method is proposed to classify the maturity level of FFB into three classes: raw, ripe, and half-ripe based on colour and texture features, which is not restricted only to palm oil but can also be applied to other fruits.
Journal ArticleDOI
Determination of starch content in single kernel using near-infrared hyperspectral images from two sides of corn seeds
TL;DR: In this article, the authors investigated the possibility of using near-infrared (NIR) hyperspectral imaging technology to determine the starch content in a single kernel corn seed, and the results indicated that the ANN prediction model based on Levenberg-Marquardt algorithm (LMA) was the optimal for starch content determination with correlation coefficient (Rp) of 0.96 and root mean square error of prediction (RMSEP).
Journal ArticleDOI
Rapid Screen of the Color and Water Content of Fresh-Cut Potato Tuber Slices Using Hyperspectral Imaging Coupled with Multivariate Analysis
Qinlin Xiao,Xiulin Bai,Yong He +2 more
TL;DR: The results illustrated that hyperspectral imaging could be an effective method for color and water content prediction, which could provide solid theoretical basis for subsequent grading and processing of fresh-cut potato tuber slices.
Journal ArticleDOI
Detection and Classification of Potato Defects Using Multispectral Imaging System Based on Single Shot Method
TL;DR: It is demonstrated that multispectral imaging system based on single shot method is a potential tool for online detection and classification of potato defects and the proposed data processing algorithm can be used for non-destructive testing of potato.
Journal ArticleDOI
Apple Bruise Grading Using Piecewise Nonlinear Curve Fitting for Hyperspectral Imaging Data
TL;DR: An apple bruise grading method based on hyperspectral imaging (HSI) was proposed and Experimental results showed that the proposed method obtained the best grading accuracy (97.33%) compared to the other methods.
References
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Journal ArticleDOI
On-line application of near infrared (NIR) spectroscopy in food production
TL;DR: In this paper, the authors present a review of the application of NIR spectroscopy in the food processing industry, focusing on studies dealing with on-line application of industrial processes in food industry, which were categorized according to their application conditions into semi-industrial scale and industrial scale.
Journal ArticleDOI
Survey: A survey on search-based software design
TL;DR: The basics of the most popular meta-heuristic algorithms are presented as background to the search-based viewpoint, and the choices regarding critical decisions, when used in meta- heuristic search algorithms, are emphasized and discussed in detail.
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Characterization of food additive-potato starch complexes by FTIR and X-ray diffraction.
TL;DR: Vibrational spectra revealed that the amylose-amylopectin skeleton present in the raw potato starch was missing in the potato powder but could be fully recovered upon water addition when the potato puree was prepared, indicating the important structural role of water molecules in the recovery of the initial molecular conformation.
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A real-time mathematical computer method for potato inspection using machine vision
TL;DR: A potato defect detection combining with size sorting system using the machine vision will be proposed, and the mathematics methods used in automation with a particular emphasis on the issues associated with designing, implementing and using classification algorithms to solve equations.
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In-line sorting of irregular potatoes by using automated computer-based machine vision system
TL;DR: Conurrently, the well-shaped potatoes were classified by size achieving a 100% accuracy indicating that the developed machine vision system has a great potential in automatic detection and sorting of misshapen products.