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Shazmin Aniza Abdul Shukor
Wireless mass air flow device for thermal comfort data acquisition
Hand-held shelf life decay detector for non-destructive fruits quality assessment
2024
,
Ismail I. Ibrahim
,
M. N. I. Mohamad Zubir
,
Shazmin Aniza Abdul Shukor
,
Muhajir Ab. Rahim
,
K. Kohlhof
This paper aims to build and implement an IoT-based mass air flow sensor device using the FS7 sensor from IST Innovative Sensor Technology and the ESP32. The scope of the project includes design and implementation of the device, the evaluation of its performance, and the presentation of the results. To achieve its objective, the project will employ literature evaluation, hardware design, programming, testing, and data analysis methodologies. The IoT-based mass air flow sensing device has the potential to improve the performance of air flow-dependent systems by providing real-time data, remote monitoring and control, and enhanced precision and dependability. In addition, it will be calibrated, maintained, and upgraded remotely, decreasing the need for on-site maintenance and extending the device's lifespan.
2024
,
Nurul Syahirah Khalid
,
Nordiana Shariffudiin
,
Shazmin Aniza Abdul Shukor
,
Humairah Mansor
,
Masturah Tunnur Mohamad Talib
,
Sukhairi Sudin
,
Ismail I. Ibrahim
,
Mohd Zamri Hasan
,
Siti Marhainis Othman
,
N.D.N Dalila
,
M.Thaqif B.N Ashimi
Perishable food such as fruits have a limited shelf life and can quickly degrade if not properly stored. One method for detecting decay in these foods is the use of ethylene gas. Ethylene is a naturally occurring hormone that is released by fruits as they ripen. By measuring the levels of ethylene in the storage area, it is possible to detect when fruits and vegetables are starting to degrade. This information can then be used to act, such as removing spoiled produce and adjusting storage conditions, to extend the shelf life of the remaining products. By utilizing ethylene gas for early detection of decay, it is possible to improve food safety and reduce food waste. The project aims to utilized ethylene gas from perishable food such as fruits before decay. This project proposed portable or hand-held detection ethylene gas by including temperature and humidity. The sensor will be measuring the level of ethylene gas, temperature and humidity. Next, machine learning method; K-Nearest Neighbour(KNN) were used to evaluate the accuracy of the proposed system. This project, a hand-held decay
detector for perishable food products is believed can help to prevent food waste by detecting early signs of spoilage in fruits.