Agriculture Management Based on LoRa Edge Computing System

Internet of Things (IoT) technologies represent the future challenges of computing and communications. They can also be useful to improve traditional farming practices worldwide. Since the areas where agricultural land is located in remote places, there is a need for new technologies. These technologies must be suitable and reliable for communication over long distances and, at the same time, consume little energy. In particular, one of these relatively new technologies is the LoRa communication protocol, which uses long waves to work over long distances. This is extremely useful in agriculture, where the communicating areas are broad fields of crops and greenhouses. This study developed a greenhouse monitoring system based on LoRa technology, designed to work over long distances. The edge computing paradigms with a machine learning mechanism are proposed to analyze and control the state of the greenhouse, and in particular, to reduce the mount of data transmitted to the server. © 2020, Springer Nature Switzerland AG.

Authors
Sharofidinov F.1 , Muthanna M.S.A.2, 4 , Pham V.D.1 , Khakimov A. 3 , Muthanna A. 1 , Samouylov K. 3
Language
English
Pages
113-125
Status
Published
Volume
12563 LNCS
Year
2020
Organizations
  • 1 The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Prospekt Bolshevikov 22, St. Petersburg, Russian Federation
  • 2 Department of Automation and Control Processes, Saint-Petersburg Electrotechnical University “LETI”, Saint-Petersburg, Russian Federation
  • 3 Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, Moscow, 117198, Russian Federation
  • 4 School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
Keywords
Edge computing; LoRa; Machine learning; Precision agriculture
Date of creation
20.04.2021
Date of change
20.04.2021
Short link
https://repository.rudn.ru/en/records/article/record/71838/
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