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
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
  • [21] Non-destructive porosity mapping of fruit and vegetables using X-ray CT
    Nugraha, Bayu
    Verboven, Pieter
    Janssen, Siem
    Wang, Zi
    Nicolai, Bart M.
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2019, 150 : 80 - 88
  • [22] Non-destructive approach to 100 T
    Phys B Condens Matter, 1-4 (65):
  • [23] Non-destructive evaluation: Statistical approach
    Dayal, V
    Krasney, LG
    TRENDS IN NDE SCIENCE AND TECHNOLOGY - PROCEEDINGS OF THE 14TH WORLD CONFERENCE ON NDT (14TH WCNDT), VOLS 1-5, 1996, : 1831 - 1838
  • [24] State-of-the-art non-destructive approaches for maturity index determination in fruits and vegetables: principles, applications, and future directions
    Ankita Anjali
    Ayushi Jena
    Sadhna Bamola
    Ishika Mishra
    Nandini Jain
    Nishita Pathak
    Nitiksha Sharma
    Renu Joshi
    Shakshi Pandey
    Vinay Kaparwal
    Arun Kumar Yadav
    Avinash Kumar Gupta
    Saurav Jha
    Vijay Bhatt
    Bindu Kumar
    Sarvesh Naik
    Manpreet Singh Rustagi
    Saamir Preet
    Food Production, Processing and Nutrition, 6
  • [25] Non-Destructive Measurement of the Internal Quality of Citrus Fruits Using a Portable NIR Device
    Santos, Carla S. P.
    Cruz, Rebeca
    Goncalves, Diogo B.
    Queiros, Rafael
    Bloore, Mark
    Kovacs, Zoltan
    Hoffmann, Isabel
    Casal, Susana
    JOURNAL OF AOAC INTERNATIONAL, 2021, 104 (01) : 61 - 67
  • [26] Non-intrusive non-destructive method to detect fissile material
    Jayaraman, S
    Tittmann, BR
    Shull, PJ
    Maillis, G
    Lenahan, PM
    Ze, F
    NONDESTRUCTIVE DETECTION AND MEASUREMENT FOR HOMELAND SECURITY II, 2004, 5395 : 8 - 14
  • [27] State-of-the-art non-destructive approaches for maturity index determination in fruits and vegetables: principles, applications, and future directions
    Anjali
    Jena, Ankita
    Bamola, Ayushi
    Mishra, Sadhna
    Jain, Ishika
    Pathak, Nandini
    Sharma, Nishita
    Joshi, Nitiksha
    Pandey, Renu
    Kaparwal, Shakshi
    Yadav, Vinay
    Gupta, Arun Kumar
    Jha, Avinash Kumar
    Bhatt, Saurav
    Kumar, Vijay
    Naik, Bindu
    Rustagi, Sarvesh
    Preet, Manpreet Singh
    Akhtar, Saamir
    FOOD PRODUCTION PROCESSING AND NUTRITION, 2024, 6 (01)
  • [28] Non-destructive prediction and visualization of anthocyanin content in mulberry fruits using hyperspectral imaging
    Li, Xunlan
    Wei, Zhaoxin
    Peng, Fangfang
    Liu, Jianfei
    Han, Guohui
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [29] CORROSION AND NON-DESTRUCTIVE TESTING IN MARINE TECHNOLOGY
    RICHTER, B
    TECHNISCHES MESSEN, 1988, 55 (04): : 139 - 143
  • [30] Optical non-destructive techniques for small berry fruits: A review
    Li, Shuping
    Luo, Hongpei
    Hu, Menghan
    Zhang, Miao
    Feng, Jianlin
    Liu, Yangtai
    Dong, Qingli
    Liu, Baolin
    ARTIFICIAL INTELLIGENCE IN AGRICULTURE, 2019, 2 : 85 - 98