Abstract
A novel intelligent automated model to recognize and classify a cashew kernels using Artificial Neural Network (ANN). The model primarily intends to work on two phases. The phase one, built with a proposed method to extract features, which includes 16 morphological features and also 24 color features from the input cashew kernel images. In phase two, a Multilayer Perceptron ANN is being used to recognize and classify the given white wholes grades using back propagation learning algorithm. The proposed method achieves a classification accuracy of 88.93%. This study also reveals that the combination of morphological and color features outperforms rather using any one set of features separately to grade cashew kernels.
Highlights
Cashew (Anarcardium Occidentale L.) has emerged as an important plantation crop of India and it plays a significant role in Indian economy
We have collected the samples of cashew kernel of white wholes grades (i.e. White Wholes (WW)-180, WW-210, WW-240 and WW-320) from the various cashew industries located nearby the Manipal, Karnataka
There is a distinct differences between WW-180, WW-210, WW-240 and WW-320 cashew kernels grades in terms of length (186.5, 166.2, 162.3 and 147.7), width (101, 92.8, 90.4 and 83.8), equivalent diameter (124.4, 113.7, 111 and 103), area (12188.7, 10164.4, 9716.5 and 8356) and convex area (14688.7, 12035, 11488 and 9822.4)
Summary
Cashew (Anarcardium Occidentale L.) has emerged as an important plantation crop of India and it plays a significant role in Indian economy. Cashew earned foreign exchange equivalent to 43,900 million rupees, from export of 1,32,000 MT of cashew kernels during the year 2011-12 (Saroj & Balasubramanian, 2013). Cashew kernels are obtained from raw cashew nuts, the true seeds of the cashew tree. Cashew are most delicious considered to be among many other edible tree nuts. It is proved that cashew add taste virtually to anything i.e. Ice Creams, Sweets, Chocolates, and various Dishes (Kumar, Rao, & Desai, 2013). In India cashew farms and processing units are located in the states of Maharastra, Goa, Andhra Pradesh, Orissa, West Bengal, Karnataka, Kerala, Tamilnadu, Madhya Pradesh, and in the eastern regions.
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