IoT based intelligent greenhouse monitoring and control system
Joint Authors
Jasim, Abbas A.
Shanan, Zaydan Faysal
Marhun, Ali Fadil
Source
Basrah Journal for Engineering Sciences
Issue
Vol. 17, Issue 1 (30 Jun. 2017), pp.61-69, 9 p.
Publisher
University of Basrah College of Engineering
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Recently, Internet of Thing technology has been used to develop numerous applications, this paper compromising design and implementation of greenhouse prototype that integrated with the IoT to adjust the system’s parameters and monitor the system status from any place in this world.
This system involves three intelligent controllers that designed to stabilize the temperature degree, water level in soil, and light intensity inside the greenhouse prototype structure.
These systems have been built by two important parts: the hardware and software.
The hardware part could be achieved by designing and implementing the control circuits, actuators, and install the sensors as well as the devices.
The second one is the software part which is involves implementing Fuzzy Inference Engine that represent the system’s brain that monitor and manage the entire process in the system to ensure the best performance.
This system has been built to contain three control systems that means there are three different Fuzzy controllers.
In order to keep the system practicality, the fuzzy controllers should be aggregated in single code that resides in single microcontroller chip with additional codes that perform the IoT duties.
The proposed IoT system provides the ability for specific people to monitor and manage their systems remotely, using a web application with cloud technology.
The major contributions of the proposed system are started by downloading the controller’s set-points (the desired environmental conditions) from the web page, transfer the set-points to the controllers, and upload data that read from sensors to the same web page.)
American Psychological Association (APA)
Shanan, Zaydan Faysal& Marhun, Ali Fadil& Jasim, Abbas A.. 2017. IoT based intelligent greenhouse monitoring and control system. Basrah Journal for Engineering Sciences،Vol. 17, no. 1, pp.61-69.
https://search.emarefa.net/detail/BIM-795478
Modern Language Association (MLA)
Shanan, Zaydan Faysal…[et al.]. IoT based intelligent greenhouse monitoring and control system. Basrah Journal for Engineering Sciences Vol. 17, no. 1 (2017), pp.61-69.
https://search.emarefa.net/detail/BIM-795478
American Medical Association (AMA)
Shanan, Zaydan Faysal& Marhun, Ali Fadil& Jasim, Abbas A.. IoT based intelligent greenhouse monitoring and control system. Basrah Journal for Engineering Sciences. 2017. Vol. 17, no. 1, pp.61-69.
https://search.emarefa.net/detail/BIM-795478
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 69
Record ID
BIM-795478