Open AccessAn Effective Identification of Food Adulteration Using IoT
Author(s) -
M Deepiga,
Sharanya Shree,
V Jagadesh,
Kumar R Jai,
Venkatesh Tamarapalli
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012180
Subject(s) - arduino , food spoilage , internet of things , fish <actinopterygii> , embedded system , computer science , environmental science , computer security , fishery , biology , genetics , bacteria
To protect fish and seafood from microbial spoilage, Some fishermen and fish vendors immorally use chemicals. An effort was made to detect formalin through our system in wet seafood markets. We get into recent formalin-based studies, then we efficiently develop this project. The emission of gas mostly from fish harmed by formalin can be detected by our device. The values identified by the gas sensors can be changed in the smartphone app using Blynk. The mobile computer is connected to the PC’s hotspot where the arduino IDE has been mounted. Via the arduino IDE, the blynk program gets the values from the sensor and tests with restrictions. We may therefore achieve the optimum solution and be mindful of the fish affected by formalin.