Providing a machine vision system based on meta-heuristic classifier to classify two weed types

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Sabzi Sajad; Abbaspour gilande Yousef; JAVADIKIA HOSSEIN

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Journal Paper

Paper Information

Journal: JOURNAL OF RESEARCHES IN MECHANICS OF AGRICULTURAL MACHINERY Year:2019 | Volume:8 | Issue:1 (14) Page(s): 13-23

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Information Journal Paper

Title

Providing a machine vision system based on meta-heuristic classifier to classify two weed types

Author(s)

Sabzi Sajad | Abbaspour gilande Yousef | JAVADIKIA HOSSEIN | Issue Writer Certificate

Keywords

Weeds

Site

specific spraying

Classification

Machine vision

Abstract

Site-specific spraying is a new method to weed exclusion. For this reason, a Machine vision system is suggested in this study based on video processing and meta-heuristic classifier for online identification of potato plant and two types of Weeds PortulacaOleracea, and Xanthium strumarium. In order to train the suggested Machine vision system, 5 hectares of lands of Marfona potato in Kermanshah province were selected for filming. After extracting some features in fields of color features and spectral descriptors of texture using two methods of hybrid artificial neural network-ant colony (ANN-ACO) and hybrid artificial neural network-Particle swarm optimization (ANN-PSO), the effective features were selected. Finally, by analyzing the results of selected features set by each of the two mentioned methods, the selected features were selected using method of artificial ANN-PSO in order to use in Machine vision system. Selected features were color index for vegetation cover in YCbCr color space, the extra second component index in HSV color space, the first and second component contrast in HSV color space, the mean of first component in HSI color space and the mean of S(r). The results of Classification showed that method of hybrid artificial neural network-Differential Evolution (ANN-DE) with high accuracy of 99% is able to identify potato plant and two different types of Weeds.

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APA: Copy

Sabzi, Sajad, Abbaspour gilande, Yousef, & JAVADIKIA, HOSSEIN. (2019). Providing a machine vision system based on meta-heuristic classifier to classify two weed types. JOURNAL OF RESEARCHES IN MECHANICS OF AGRICULTURAL MACHINERY, 8(1 (14) ), 13-23. SID. https://sid.ir/paper/270424/en

Vancouver: Copy

Sabzi Sajad, Abbaspour gilande Yousef, JAVADIKIA HOSSEIN. Providing a machine vision system based on meta-heuristic classifier to classify two weed types. JOURNAL OF RESEARCHES IN MECHANICS OF AGRICULTURAL MACHINERY[Internet]. 2019;8(1 (14) ):13-23. Available from: https://sid.ir/paper/270424/en

IEEE: Copy

Sajad Sabzi, Yousef Abbaspour gilande, and HOSSEIN JAVADIKIA, “Providing a machine vision system based on meta-heuristic classifier to classify two weed types,” JOURNAL OF RESEARCHES IN MECHANICS OF AGRICULTURAL MACHINERY, vol. 8, no. 1 (14) , pp. 13–23, 2019, [Online]. Available: https://sid.ir/paper/270424/en

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