Standard
Agriculture Management Based on LoRa Edge Computing System. / Sharofidinov, Fatkhullokhodzha; Muthanna, Mohammed Saleh Ali; Pham, Van Dai; Khakimov, Abdukodir; Muthanna, Ammar; Samouylov, Konstantin.
Distributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers. ed. / Vladimir M. Vishnevskiy; Dmitry V. Kozyrev; Konstantin E. Samouylov; Dmitry V. Kozyrev. Springer Nature, 2020. p. 113-125 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12563 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Harvard
Sharofidinov, F
, Muthanna, MSA, Pham, VD, Khakimov, A, Muthanna, A & Samouylov, K 2020,
Agriculture Management Based on LoRa Edge Computing System. in VM Vishnevskiy, DV Kozyrev, KE Samouylov & DV Kozyrev (eds),
Distributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12563 LNCS, Springer Nature, pp. 113-125, 23rd International Conference on Distributed Computer and Communication Networks, DCCN 2020, Moscow, Russian Federation,
14/09/20.
https://doi.org/10.1007/978-3-030-66471-8_10APA
Sharofidinov, F.
, Muthanna, M. S. A., Pham, V. D., Khakimov, A., Muthanna, A., & Samouylov, K. (2020).
Agriculture Management Based on LoRa Edge Computing System. In V. M. Vishnevskiy, D. V. Kozyrev, K. E. Samouylov, & D. V. Kozyrev (Eds.),
Distributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers (pp. 113-125). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12563 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-030-66471-8_10Vancouver
Sharofidinov F
, Muthanna MSA, Pham VD, Khakimov A, Muthanna A, Samouylov K.
Agriculture Management Based on LoRa Edge Computing System. In Vishnevskiy VM, Kozyrev DV, Samouylov KE, Kozyrev DV, editors, Distributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers. Springer Nature. 2020. p. 113-125. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-030-66471-8_10Author
Sharofidinov, Fatkhullokhodzha
; Muthanna, Mohammed Saleh Ali ; Pham, Van Dai ; Khakimov, Abdukodir ; Muthanna, Ammar ; Samouylov, Konstantin. /
Agriculture Management Based on LoRa Edge Computing System. Distributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers. editor / Vladimir M. Vishnevskiy ; Dmitry V. Kozyrev ; Konstantin E. Samouylov ; Dmitry V. Kozyrev. Springer Nature, 2020. pp. 113-125 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{3689d9c27a224587a576f8be4432a4d6,
title = "Agriculture Management Based on LoRa Edge Computing System",
abstract = "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.",
keywords = "Edge computing, LoRa, Machine learning, Precision agriculture",
author = "Fatkhullokhodzha Sharofidinov and Muthanna, {Mohammed Saleh Ali} and Pham, {Van Dai} and Abdukodir Khakimov and Ammar Muthanna and Konstantin Samouylov",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 23rd International Conference on Distributed Computer and Communication Networks, DCCN 2020 ; Conference date: 14-09-2020 Through 18-09-2020",
year = "2020",
doi = "10.1007/978-3-030-66471-8_10",
language = "English",
isbn = "9783030664701",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "113--125",
editor = "Vishnevskiy, {Vladimir M.} and Kozyrev, {Dmitry V.} and Samouylov, {Konstantin E.} and Kozyrev, {Dmitry V.}",
booktitle = "Distributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers",
address = "Germany",
}
RIS
TY - GEN
T1 - Agriculture Management Based on LoRa Edge Computing System
AU - Sharofidinov, Fatkhullokhodzha
AU - Muthanna, Mohammed Saleh Ali
AU - Pham, Van Dai
AU - Khakimov, Abdukodir
AU - Muthanna, Ammar
AU - Samouylov, Konstantin
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Edge computing
KW - LoRa
KW - Machine learning
KW - Precision agriculture
UR - http://www.scopus.com/inward/record.url?scp=85101315971&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-66471-8_10
DO - 10.1007/978-3-030-66471-8_10
M3 - Conference contribution
AN - SCOPUS:85101315971
SN - 9783030664701
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 113
EP - 125
BT - Distributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers
A2 - Vishnevskiy, Vladimir M.
A2 - Kozyrev, Dmitry V.
A2 - Samouylov, Konstantin E.
A2 - Kozyrev, Dmitry V.
PB - Springer Nature
T2 - 23rd International Conference on Distributed Computer and Communication Networks, DCCN 2020
Y2 - 14 September 2020 through 18 September 2020
ER -
