Advancements in Grain Adulteration Detection and Quality Assessment - A Survey

• Published in: International journal for research in applied science and engineering technology 2023-11, Vol.11 (11), p.1042-1050
• Main Authors: N, Mr. Roopesh Kumar B, P, Rakshitha, Shankari, S Sai, N, Vandana, Jhansi, Y
• Format: Article
• Language: English
• ISSN: 2321-9653; 2321-9653
• DOI: 10.22214/ijraset.2023.56673

Food security and public health are severely compromised by food adulteration and quality deterioration, which have become pressing concerns. Unfavourable food quality is caused by a multitude of factors, including but not limited to the widespread adulteration of food. Food quality is heavily influenced by environmental variables, such as poor storage conditions, pest infestations, and contaminant exposure. Furthermore, food products may be exposed to adverse circumstances due to the complexities of transportation and distribution, which can result in microbial spoilage and a loss of nutritive value. Consumers are thereby subjected to a decreased level of nutritional quality from their diet in addition to health hazards. In the context of food grains, such as rice and wheat, the challenges are particularly noteworthy. As these grains form the essence of sustenance in regions like India, ensuring their quality is paramount. Grain quality evaluation has traditionally been done by hand using labour-intensive, human error-prone procedures. However, the prospect of automation and computer vision gives a glimmer of optimism in today's technologically advanced society. Systemic research and developments concerning the evaluation of grain quality have demonstrated that image processing techniques may be employed to automate the procedure. Such advancements give rise to the potential for more accurate, efficient, and scalable grain quality assessment.