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 50 条
  • [1] Non-destructive techniques for mitigating losses of fruits and vegetables
    Silveira, A. C.
    Rodriguez, S.
    Kluge, R.
    Palaretti, L. F.
    Inestroza, C.
    Escalona, V. H.
    AGROCIENCIA URUGUAY, 2021, 25
  • [2] Using non-destructive impact testing for sorting fruits
    Jarén, C
    García-Pardo, E
    JOURNAL OF FOOD ENGINEERING, 2002, 53 (01) : 89 - 95
  • [3] Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review
    Aline, Umuhoza
    Bhattacharya, Tanima
    Faqeerzada, Mohammad Akbar
    Kim, Moon S.
    Baek, Insuck
    Cho, Byoung-Kwan
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [4] Non-destructive Weight Prediction Model of Spherical Fruits and Vegetables using U-Net and Machine Methods
    Koc, Savas
    Kayra, Halil
    JOURNAL OF AGRICULTURAL SCIENCES-TARIM BILIMLERI DERGISI, 2024, 30 (04): : 735 - 747
  • [5] Magnetic Resonance Imaging - A non-destructive approach to ripening state in fruits
    Munoz-Barrio, MT
    Merodio, C
    EIGHT INTERNATIONAL SYMPOSIUM ON PLANT BIOREGULATORS IN FRUIT PRODUCTION, 1997, (463): : 385 - 390
  • [6] Non-destructive quality evaluation of vegetables in China
    Liu, L
    Jin, TM
    Li, X
    Zhu, YJ
    Song, SH
    INTERNATIONAL SYMPOSIUM ON QUALITY OF FRESH AND FERMENTED VEGETABLES, 1999, (483): : 245 - 250
  • [7] Analysis and realization of a self-adaptive grasper grasping for non-destructive picking of fruits and vegetables
    Huang, Haibo
    Wang, Rugui
    Huang, Fuqiang
    Chen, Jianneng
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2025, 232
  • [8] Non-Destructive Prediction Approach for Pomelo Granulation Rate Using MRI Technology
    Jie, Dengfei
    Li, Zhihong
    Wu, Shuang
    Tian, Botao
    Wang, Ping
    He, Jincheng
    Wei, Xuan
    Journal of Food Process Engineering, 2024, 47 (12)
  • [9] Non-destructive determination of maturity parameters of fruits
    Dimwoeber, Martin
    Berghold, Stefanie
    MITTEILUNGEN KLOSTERNEUBURG, 2010, 60 (01): : 148 - 151
  • [10] Development of a Qualitative Test to Detect the Presence of Organophosphate Pesticides on Fruits and Vegetables
    De Luca, Valentina
    Mandrich, Luigi
    Manco, Giuseppe
    LIFE-BASEL, 2023, 13 (02):
12345