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Wireless sensor networks-based smart agriculture: sensing technologies, application and future directions
Author(s):
1. Mushtaque Ahmed Rahu: Department of Electronic Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah 67450, Pakistan.
2. Sarang Karim: Department of Telecommunication Engineering, Quaid-e-Awam University of Engineering, Science and Technology,Nawabshah 67450,Pakistan
3. Rehan Shams: Department of Telecommunication Engineering, Sir Syed University of Engineering and Technology,Karachi 75300,Pakistan
4. Ayaz Ahmed Hoshu: Department of Electronic Engineering, Quaid-e-Awam University of Engineering, Science and Technology,Larkana Campus, Larkana 77150,Pakistan
5. Abdul Fattah Chandio: Department of Electronic Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah 67450, Pakistan.
Abstract:
With the advent of the latest sensing technologies and Wireless Sensor Networks (WSN), agricultural tasks can be performed quickly, adequately and precisely. These practices are termed Smart agriculture. In this paper, we discuss various sensing technologies that enable smart agriculture. Later, a system based on WSN has been designed to monitor agricultural parameters. The proposed system has been deployed in a Wheat field. This work aims to increase the quality and productivity of the Wheat crops and minimize the extensive field visits of the farmers. This system enables precision agriculture by periodically measuring the three most key parameters (temperature, light, and water level) for achieving a remarkable increase in quality, productivity and growth of the Wheat crops. Thus, this system helps the agriculturists, landowners and research experts to monitor these parameters at the base station without going to the field site. A GUI tool is also designed to display the measured data and stored it in the database accordingly. While designing this system; IRIS mote, MDA100 data acquisition board, and MIB520 USB interface board are employed. We use TinyOS operating system for the development of codes for wireless nodes and the GUI tool is designed in Microsoft Visual Studio. ZigBee IEEE 802.15.4 protocol and direct topology are used for the communication of nodes with the base station. In last, we also discuss future research directions.
Page(s): 18-32
DOI: DOI not available
Published: Journal: Sukkur IBA Journal of Emerging Technologies (SJET), Volume: 5, Issue: 2, Year: 2022
Keywords:
Wireless sensor networks , Precision agriculture , Smart agriculture , sensing technologies , Wheat crops
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