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The Sorting and Grading of Red Chilli Peppers (Capsicum annuum L.) Using Digital Image Processing

International Journal of Agriculture & Environmental Science
© 2019 by SSRG - IJAES Journal
Volume 6 Issue 4
Year of Publication : 2019
Authors : Nafis Khuriyati, Agung Putra Pamungkas, Anggraito Agung P.
10.14445/23942568/IJAES-V6I4P104
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How to Cite?

Nafis Khuriyati, Agung Putra Pamungkas, Anggraito Agung P., "The Sorting and Grading of Red Chilli Peppers (Capsicum annuum L.) Using Digital Image Processing," SSRG International Journal of Agriculture & Environmental Science, vol. 6,  no. 4, pp. 17-23, 2019. Crossref, https://doi.org/10.14445/23942568/IJAES-V6I4P104

Abstract:

Sorting of red chilli pepper manually makes the result unobjective and inconsistent. By using digital image processing and Artificial Neural Network (ANN), we can minimize the subjectivity and inconsistency. The aim of this research was to design ANN architecture for sorting and grading red chilli pepper based on image analyses. Red chilli pepper cv. Helix image was processed using digital image processing and classified using ANN. Images from the two sides of a red chilli that were 20 samples taken in a closed box equipped with a smartphone. The images of red chillies were processed by using MATLAB application that was used to transform RGB image to obtain mark of colour features and texture features. Subsequently, colour and texture feature were chosen to get variables for composing ANN. It was discovered that red, energy, and correlation are variables to compose ANN. This ANN had 3 input cells, 22 hidden layers cells, and 5 output cells and could classify 20 samples of red chilli peppers with 84.46% level of accuracy.

Keywords:

Artificial neural network, digital image processing, grading, red chilli peppers, sorting

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