14 citations · 36 across the 5 of their papers we have counts for
3 papers · 1 filter
Detection of Adulteration in Coconut Milk using Infrared Spectroscopy and Machine Learning
Mokhtar A. Al-Awadhi, Ratnadeep R. Deshmukh
In this paper, we propose a system for detecting adulteration in coconut milk, utilizing infrared spectroscopy. The machine learning-based proposed system comprises three phases: p…
A Machine Learning Approach for Honey Adulteration Detection using Mineral Element Profiles
Mokhtar A. Al-Awadhi, Ratnadeep R. Deshmukh
This paper aims to develop a Machine Learning (ML)-based system for detecting honey adulteration utilizing honey mineral element profiles. The proposed system comprises two phases:…
Classification of Honey Botanical and Geographical Sources using Mineral Profiles and Machine Learning
Mokhtar Al-Awadhi, Ratnadeep Deshmukh
This paper proposes a machine learning-based approach for identifying honey floral and geographical sources using mineral element profiles. The proposed method comprises two steps:…