Bimonthly    Since 1986
ISSN 1004-9037
Publication Details
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
 
   
      02 June 2023, Volume 38 Issue 3
    Article

    AN EXPERIMENTAL STUDY ON THE DEVELOPMENT OF A LOW-COST, NON-INVASIVE EQUIPMENT FOR THE QUALITY CHECK-IN PERISHABLE FOODS
    Dr. Sankar P1, Dr. Sivapriya T*2, Dr. Maruthi R3, Malathy S4, Himanshu S5
    Journal of Data Acquisition and Processing, 2023, 38 (3): 2891-2901 . 

    Abstract

    Food-borne illness is a major hazard that distresses the global economy and productivity. The most of the time, food-borne illness arises due to the consumption of spoilt or contaminated foods. This fact still remains inconspicuous to many consumers and manufacturers. Whether it is animal or plant products both get spoilt or contaminated due to certain parameters such as humidity, pH, moisture content or poor handling etc. This in turn has led to huge consequences amongst the population who consumes the same. Thus, the standards and requirements of the food have to be put under strict surveillance. Perhaps there are several methods available like DNA-based and omics based, but are considered to be highly invasive methods. Since sensor technology and IoT are growing at a rapid stage. Food safety methods can be improved by creating gadgets and equipment in a non-invasive way. In this paper an attempt has been made to design an IoT based equipment for measuring the spoilage of foods. In addition to it an analysis has been made to see the performance efficacy of the same.

    Keyword

    Food spoilage, quality control, Arduino uno, Gas sensor, Ph sensor, wi-fi


    PDF Download (click here)

SCImago Journal & Country Rank

ISSN 1004-9037

         

Home
Editorial Board
Author Guidelines
Subscription
Journal of Data Acquisition and Processing
Institute of Computing Technology, Chinese Academy of Sciences
P.O. Box 2704, Beijing 100190 P.R. China
E-mail: info@sjcjycl.cn
 
  Copyright ©2015 JCST, All Rights Reserved