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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
CLASSIFICATION AND GRADING OF ARECA NUTS USING MACHINE LEARNING AND IMAGE PROCESSING TECHNIQUES
Authors
Adarsh S Shetty, Smitha Prabhu, Pramod Kumar K G, Deepika, Sowjanya
Keywords
Areca nut, Convolution Neural Network, Support Vector Machine
Abstract
The Areca nut, often known as betel nut, is a tropical crop. India is the world's second-largest producer and consumer of areca nut. A multitude of illnesses afflict it throughout its life cycle, from root to fruit. The current method of disease detection is simple observation with the naked eye, and farmers must thoroughly study each crop on a regular basis to detect diseases. We proposed a method that uses Convolution Neural Network (CNN) and Support Vector Machine (SVM) algorithm to detect whether the given areca nut is of bad quality or good quality. We created our own dataset comprising of 208 photos of good and bad quality areca nuts to train and test the model. By using CNN we have obtained the accuracy of 97.12% and by using SVM we obtained the accuracy of 93.68%.
IJCRT's Publication Details
Unique Identification Number - IJCRTT020022
Paper ID - 223625
Page Number(s) - 107-111
Pubished in - Volume 10 | Issue 8 | August 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Adarsh S Shetty, Smitha Prabhu, Pramod Kumar K G, Deepika, Sowjanya, "CLASSIFICATION AND GRADING OF ARECA NUTS USING MACHINE LEARNING AND IMAGE PROCESSING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 8, pp.107-111, August 2022, Available at :http://www.ijcrt.org/papers/IJCRTT020022.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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