IoT-based real time greenhouse monitoring and controlling system

  • Yajie Liu Cyber Security and Big Data Center, Management and Science University, Shah Alam, Selangor, Malaysia http://orcid.org/0000-0001-6028-2298
  • Md Gapar Md Johar Software Engineering and Digital Innovation Centre, Management and Science University, Shah Alam, Selangor, Malaysia https://orcid.org/0000-0001-7986-3834
  • Asif Iqbal Hajamydeen Cyber Security and Big Data Center, Management and Science University, Shah Alam, Selangor, Malaysia https://orcid.org/0000-0002-5034-1781

Abstract

With the ongoing rise of social and economic levels, as well as people's living standards, the demand for out-of-season vegetables and fruits has increased in recent years. Nowadays, advanced scientific technologies are increasingly applied to traditional agricultural production. With the aid of Internet of Things (IoT) applications, intelligent greenhouses have helped cultivate growth. Intelligent greenhouses can produce a proper growing environment for crops, improve crop yields and quality, and achieve efficient production output. Temperature, humidity, and other elements are the key factors impacting crop development in greenhouses; how to effectively measure and control these environmental parameters is critical for farmers. In this study, an IoT-based, low-cost, intelligent agricultural production environment monitoring system is designed and developed. This system could monitor interior ambient temperature and humidity in real-time through the DHT22 sensor, and the collected data is stored in the ThingSpeak cloud. In addition, a fan and a heating panel are utilized to control the inside environment. The results showed that the environment would be constantly adjusted and maintained at an ideal level for crop growth.

Downloads

Download data is not yet available.

Author Biographies

Md Gapar Md Johar, Software Engineering and Digital Innovation Centre, Management and Science University, Shah Alam, Selangor, Malaysia

He is senior vice president research, innovation, technology and System of Management and Science University, Malaysia. He is a professor in software engineering. Ph.D. in computer science, M.Sc. in data engineering, and B.Sc. (Hons) in computer science and is a certified e-commerce consultant are among his qualifications. Working and teaching in several organisations for more than 40 years has given him a broad range of expertise. His research interests include data mining, learning content management system, blended assessment system, knowledge management system, RFID, e-commerce, character recognition, image processing, and healthcare management system.

Asif Iqbal Hajamydeen, Cyber Security and Big Data Center, Management and Science University, Shah Alam, Selangor, Malaysia

He is Associate Professor at Faculty of Information Sciences and Engineering, Management and Science University, Shah Alam, Selangor, Malaysia. He holds a PhD degree in Security in Computing in 2014. He earned his M.SC., COMPUTER SCIENCE, BHARATHIDASAN UNIVERSITY in 1998. His research areas are Data Mining, and Anomaly Detection.

Published
2024-08-29
How to Cite
Liu, Y., Md Johar, M. G., & Hajamydeen, A. I. (2024). IoT-based real time greenhouse monitoring and controlling system. ITEGAM-JETIA, 10(48), 190-196. https://doi.org/10.5935/jetia.v10i48.895
Section
Articles