Scopus Indexed Publications
Paper Details
- Title
- Identifying Fake Rice Using Computer Vision in Perspective of Bangladesh
- Author
- Md. Asif Mahmud Ridoy, Abdus Sattar, Md. Fahim Sarker, Shuvo Datta,
- asif15-10262@diu.edu.bd
- Abstract
- Bangladesh is an agricultural country. Rice is one of the major agricultural products of this country. Rice is the staple food of most of the people in Bangladesh. As a result, there is a considerable demand for rice. So, there are many types of rice supply in the market. But lately it is seen that fake rice is sold in the market along with real rice. These rices cannot be easily identified with the naked eye whether it is real or fake. Now, it is often seen that people are being deceived by buying fake rice instead of real rice. Which is deadly harmful to health. For this real and fake rice was collected and made a large dataset by capturing their images. Using this dataset, two different computer vision models have been created and then their accuracy have been checked if those models can identify whether a particular rice is real or fake. Among them CNN algorithm gives the highest accuracy which is 98%.
- Keywords
- Fake Rice , Original Rice , CNN , ANN , Methodology , Identification , Accuracy
- Journal or Conference Name
- 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
- Publication Year
- 2021
- Indexing
- scopus