IoT and mobile app-based food spoilage alert system

L. Pallavi; Padavala Sai Prasad; G. Hariharan; K. Karthikayani; R S Shudapreyaa

doi:10.53730/ijhs.v6nS1.8613

Authors

L. Pallavi
pallavi503@gmail.com
Associate Professor, Department of Computer science and Engineering, B V Raju Institute of Technology, Narsapur, Telangana, India
Padavala Sai Prasad Associate Professor, Department of Computer science and Engineering, St. Martin's Engineering College (A), Secunderabad, Telangana, India
G. Hariharan Associate Professor, Department of Computer science and Engineering, PSN Engineering College, Tirunelveli, Tamil Nadu, India
K. Karthikayani Assistant Professor, Department of Computer Science and Engineering, SRM Institute of science and technology, Chennai, Tamil Nadu, India
R S Shudapreyaa Assistant Professor, Department of Computer Science and Engineering, Kongu Engineering College, Erode, Tamil Nadu, India

Keywords:

Food monitoring, IoT, temperature sensor, mobile application, alert messages

Abstract

Food is one of the necessities of human life. It is mandatory to maintain a balanced diet with fresh fruits and vegetables to maintain good health conditions. In this fast-forwarded generation, consumers often expect faster delivery of fruits, vegetables, and even food products. For this purpose, the food materials are stored in bulk storage areas. Every type of food requires its environment to stay fresh for a long time. When different types of food materials in enormous amounts are stored in one area, it becomes tougher for the one who manages the storage area to maintain optimum values for all parameters. It also becomes difficult to identify whether the food inside a compartment is fresh or rotten. To help this scenario, this study aims the development an Internet of Things (IoT) system which is capable of monitoring the necessary parameters. This system consists of sensors, a controller, and software. The sensors are directly linked to the food materials that need to be monitored. The nodeMCU module receives and processes the data collected from the sensors. The information gathered is sent to the Blynk mobile application. The collected data is then analyzed or compared to the parameter threshold values.

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