Non-destructive Approach to Detect Pesticides in Fruits and Vegetables using IoT Technology

被引:2
作者
Kanmani, R. [1 ]
Maheswar, R. [2 ]
Sureshkumar, A. [1 ]
Mugilan, A. [3 ]
Praveena, V [4 ]
机构
[1] Sri Krishna Coll Technol, Dept IT, Coimbatore, Tamil Nadu, India
[2] VIT Bhopal Univ, Bhopal, India
[3] VIT Vellore Univ, Vellore, Tamil Nadu, India
[4] Sri Shakthi Inst Engn & Technol, Dept IT, Coimbatore, Tamil Nadu, India
来源
2020 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI - 2020) | 2020年
关键词
Internet of Things; Light sources; Mobile communication; RESIDUES; BIOSENSORS;
D O I
10.1109/iccci48352.2020.9104166
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A novel non-destructive approach is developed to detect harmfulness due to pesticides of fruits and vegetables using photo-sensitive effect and Internet of Thing. Hence the consumer will be assured about the safety of the eatables. To address this issue, a portable, efficient, accurate and user friendly device named Fresh-O-Sniff along with a mobile application is developed to help consumers in selecting top quality fruits and vegetables. This is the novel approach to predict pesticide levels in fruits and vegetables.. The primary beneficiary of the solution will be the common public. This will help to improve the health of the common public in a positive manner and in turn, increase the digitalization process in India.This technology is the integration of IoT, Mobile Application and Food Technology.
引用
收藏
页码:396 / +
页数:8
相关论文
共 53 条
  • [41] Performance analysis of cluster based homogeneous sensor network using energy efficient N-policy (EENP) model
    Nageswari, D.
    Maheswar, R.
    Kanagachidambaresan, G. R.
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 5): : 12243 - 12250
  • [42] Ong SQ, 2017, TROP LIFE SCI RES, V28, P45, DOI 10.21315/tlsr2017.28.2.4
  • [43] Perry Tekla S., 2017, IEEE SPECTRUM VIEW V
  • [44] Potter NN, 1998, FOOD SCI TEXT SERIES, P532
  • [45] Punithavathani D., 2009, European Journal of Scientific Research, V34, P110
  • [46] Biosensors for the detection of organophosphorous pesticides
    Rekha, K
    Thakur, MS
    Karanth, NG
    [J]. CRITICAL REVIEWS IN BIOTECHNOLOGY, 2000, 20 (03) : 213 - 235
  • [47] Measurement of pesticide residues in peppers by near-infrared reflectance spectroscopy
    Sanchez, Maria-Teresa
    Flores-Rojas, Katherine
    Emilio Guerrero, Jose
    Garrido-Varo, Ana
    Perez-Marin, Dolores
    [J]. PEST MANAGEMENT SCIENCE, 2010, 66 (06) : 580 - 586
  • [48] A novel method for pesticide analysis in refined sugar samples using a gas chromatography-mass spectrometer (GC-MS/MS) and simple solvent extraction method
    Sinha, Sukesh Narayan
    Bhatnagar, V. K.
    Doctor, Pankaj
    Toteja, G. S.
    Agnihotri, N. P.
    Kalra, R. L.
    [J]. FOOD CHEMISTRY, 2011, 126 (01) : 379 - 386
  • [49] Sundararajan T.V.P., 2014, J HLTH CARE ENG
  • [50] Biosensors in food processing
    Thakur, M. S.
    Ragavan, K. V.
    [J]. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2013, 50 (04): : 625 - 641