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

页码：396 / +

页数：8

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