Designing a Hardware System to separate Defective Pistachios From Healthy Ones Using Deep Neural Networks

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DINI ALI; GHAYOUMI ZADEH HOSSEIN; RAHIMIFARD ALI AKBAR; FAYAZI ALI; EFTEKHARI MOHAMMAD ALI; ABBASZADEH MEHDI

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Journal: Iranian Journal of Biosystems Engineering Year:2020 | Volume:51 | Issue:1 Page(s): 149-159

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Title

Designing a Hardware System to separate Defective Pistachios From Healthy Ones Using Deep Neural Networks

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Keywords

AflatoxinQ3

PistachioQ3

Deep Neural NetworkQ1

ConvolutionQ1

ClassificationQ2

Abstract

The aim of this study is to develop imaging algorithms to improve the grade of nuts with shell defects such as oily stains, dark stains, adhering hull, damage seed defects, and fungal decay. All these defects indicate the risk of Aflatoxin contamination. Convolutional Neural Networks (CNNs) have become prominent in various fields of machine vision and image Classification. In this study, a laboratory hardware setup based on a Convolutional neural network is designed for sorting Pistachios. The total number of collected data is 958 images, which includes 276 images of defective Pistachios and 682 images of healthy Pistachios. The Classification of healthy and defective images has been accomplished by 3 types of deep Convolutional neural networks including Google net, resnet18 and vgg16. The accuracy and specificity of the results obtained using the pre-trained Deep Neural Network models of Google net, resnet18 and vgg16 are 95. 8%-97. 1%, 97. 2%-96. 7%, and 95. 83%-97. 08%, respectively.

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APA: Copy

DINI, ALI, GHAYOUMI ZADEH, HOSSEIN, RAHIMIFARD, ALI AKBAR, FAYAZI, ALI, EFTEKHARI, MOHAMMAD ALI, & ABBASZADEH, MEHDI. (2020). Designing a Hardware System to separate Defective Pistachios From Healthy Ones Using Deep Neural Networks. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 51(1 ), 149-159. SID. https://sid.ir/paper/144516/en

Vancouver: Copy

DINI ALI, GHAYOUMI ZADEH HOSSEIN, RAHIMIFARD ALI AKBAR, FAYAZI ALI, EFTEKHARI MOHAMMAD ALI, ABBASZADEH MEHDI. Designing a Hardware System to separate Defective Pistachios From Healthy Ones Using Deep Neural Networks. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2020;51(1 ):149-159. Available from: https://sid.ir/paper/144516/en

IEEE: Copy

ALI DINI, HOSSEIN GHAYOUMI ZADEH, ALI AKBAR RAHIMIFARD, ALI FAYAZI, MOHAMMAD ALI EFTEKHARI, and MEHDI ABBASZADEH, “Designing a Hardware System to separate Defective Pistachios From Healthy Ones Using Deep Neural Networks,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 51, no. 1 , pp. 149–159, 2020, [Online]. Available: https://sid.ir/paper/144516/en

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