Prediction of Pakistani Honey Authenticity through Machine Learning

• 主要な著者: Noureen Fatima, Ghulam Mujtaba, Adnan Akhunzada, Khurshed Ali, Zahid Hussain Shaikh, Baby Rabia, Javed Ahmed Shahani
• フォーマット: 論文
• 言語: English; English
• 出版事項: Institute of Electrical and Electronics Engineers (IEEE) 2022
• 主題: QA76.75-76.765 Computer software
• オンライン･アクセス: https://eprints.ums.edu.my/id/eprint/34736/1/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/34736/2/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/34736/; https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9857885; https://doi.org/10.1109/ACCESS.2022.3199021

Honey is a high-demand product in many countries because it is high in nutritional value and rich in antioxidants. Thus, the demand for honey is increased. However, the productivity of honey is naturally lower than its demand. Therefore, honey has often become a target for adulteration. Adulteration...