Smart Agriculture: A Low-Cost Wireless Sensor Network Approach

Ioannis Angelis (), Alexandros Zervopoulos (), Aikaterini Georgia Alvanou (), Spiridon Vergis (), Asterios Papamichail (), Konstantinos Bezas (), Andreana Stylidou (), Athanasios Tsipis (), Vasileios Komianos (), Georgios Tsoumanis (), George Koufoudakis () and Konstantinos Oikonomou ()
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Ioannis Angelis: Ionian University
Alexandros Zervopoulos: Ionian University
Aikaterini Georgia Alvanou: Ionian University
Spiridon Vergis: Ionian University
Asterios Papamichail: Ionian University
Konstantinos Bezas: Ionian University
Andreana Stylidou: Ionian University
Athanasios Tsipis: Ionian University
Vasileios Komianos: Ionian University
Georgios Tsoumanis: University of Ioannina
George Koufoudakis: Ionian University
Konstantinos Oikonomou: Ionian University

A chapter in Information and Communication Technologies for Agriculture—Theme I: Sensors, 2022, pp 139-172 from Springer

Abstract: Abstract Due to the rapid urbanization in many developing countries along with other major factors, such as global warming, the agriculture industries are striving to cope nowadays more than ever. This chapter gives a better insight on how the Information Communications Technologies and the development of Internet of Things applications can be used in the field of agriculture. While presenting general information regarding issues faced by these industries, the chapter focuses on analyzing the various low-cost hardware components (sensors, processing units, etc.), a simple Wireless Sensor Network synchronization method and a cloud/fog architecture suitable for environmental monitoring and agricultural applications. The effectiveness of the synchronization process is evaluated with experiments previously conducted on an olive grove. Likewise, the cloud/fog architecture is evaluated based on previous experimental runs led by other researchers. The results of both approaches are briefly presented and analyzed. The performance evaluation metrics used to outline their effectiveness are the Round Trip Time of a data packet and the packet load on every time step. A brief review of the key components of each of the aforementioned subjects is presented and possible future directions are provided.

Keywords: Sensing equipment; Internet of Things; Wireless sensor networks; Smart farming (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-84144-7_6

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