Indian Journal of Science and Technology
Year: 2020, Volume: 13, Issue: 27, Pages: 2811-2822
Jehangir Arshad1, Rizwan Tariq2,3*, Saqib Saleem4, Ateeq Ur Rehman5, H Mudassir Munir6, Noorbakhsh Amiri Golilarz7, Aamir Saleem8
1Department of Electrical & Computer Engineering, COMSATS University Islamabad, Lahore, 540000, Campus, Lahore, Pakistan
2Department of Electrical Engineering, University Kuala LumpurBMI (UniKLBMI), Selangor, Malaysia
3National Power Construction Corporation Limited. Dubai Branch, UAE
4Department of Electrical and Computer Engineering, COMSATS University Islamabad,Sahiwal Campus, Sahiwal, Pakistan
5College of Internet of Things Engineering, Hohai University, Changzhou, China
6Electrical Engineering Dept, IBA University, Sukkur, Sindh, 65200, Pakistan
7School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China
8Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences,Lahore, 540000
Email: [email protected]
Received Date:24 April 2020, Accepted Date:01 June 2020, Published Date:31 July 2020
Objectives/ Methods: The conventional farming approaches have been found unable to deliver an appropriate quantity of fertilizer. Similarly, no explicit measure can be established to regulate the climate parameters. In this study, we have developed a prototype comprising a sensor network (SN) based node, Raspberry Pi based embedded system (ES) that is active to monitor the climatic parameters with air temperature, air humidity, soil moisture,air carbon dioxide, and light intensity within a greenhouse environment.Raspberry Pi based ES is integrated with internet-of-things (IoT) analytics, termed as ThingSpeak, and sensor nodes are physically placed in a greenhouse environment to record climate parameter data being forwarded to the gateway. The gateway nodes direct this data to the agriculture professional(s) through a web browser over the internet. Findings: Based on the received data, the ES triggers the intelligent decision-making by implementing appropriate arrangements to regulate climate parameters. For example, the greenhouse climate is controlled through switching ``ON'' certain devices i.e., lights, water sprinklers/exhaust fan, and fan. We deliberate that the proposed scheme can be implementable at a bigger scale without any difficulty and it will be much advantageous for an increase in sustainability, productivity, and profitability of a farming system. Novelty: Up to the authors' best knowledge, it is the first wireless deployment of ThingSpeak analytics for a smart greenhouse environment by using the Raspberry Pi. The main advantages of this intelligent crop monitoring system include uninterrupted mobile monitoring of the greenhouse, improved crop yield and productivity, negligible human interface/dependency.
Keywords: Agricultural monitoring; greenhouses; embedded system; sensor networks (SN); IoT
© 2020 Arshad, Tariq,Saleem, Rehman, Munir,Amiri Golilarz, Saleem.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee).
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