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Smart Agriculture: A Low-Cost Wireless Sensor Network Approach

In: Information and Communication Technologies for Agriculture—Theme I: Sensors

Author

Listed:
  • 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)

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.

Suggested Citation

  • Ioannis Angelis & Alexandros Zervopoulos & Aikaterini Georgia Alvanou & Spiridon Vergis & Asterios Papamichail & Konstantinos Bezas & Andreana Stylidou & Athanasios Tsipis & Vasileios Komianos & Georg, 2022. "Smart Agriculture: A Low-Cost Wireless Sensor Network Approach," Springer Optimization and Its Applications, in: Dionysis D. Bochtis & Maria Lampridi & George P. Petropoulos & Yiannis Ampatzidis & Panos Pardalos (ed.), Information and Communication Technologies for Agriculture—Theme I: Sensors, pages 139-172, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-84144-7_6
    DOI: 10.1007/978-3-030-84144-7_6
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