Blockchain and High-Performance/Low-Cost Ambient Sensors Mounted on Open Field Servers-Based IoT-Oriented Information-Sharing System for Agricultural Fields
Our research group focuses on creating various application systems of these systems tends to focus on agricultural (agri-) advancement and security issues. First, we monitor agriculture and related environments (e.g., rice fields, meadows, and gardens) and obtain environmental agri-information (e.g., temperature, moisture, and the quality of soil) over extended periods. To do so, we use an existing Japanese high-performance/low-cost field server (FS) system, which operates sensor units uniformly. Furthermore, we develop and implement a blockchain and Twitter-based record sharing system connecting with the FS for the benefit of traditional agri-researchers, workers, and their respective managers. In regard to the study results, presenting the accuracy data quantitatively is difficult; we are unable to show the success and error rates for the systems’ data transmitting and receiving, nor the examination operation time. We believe the holistic system holds the potential to improve not only agri-businesses but also agri-skills and overall security levels.
M. Hirafuji, and T. Fukatsu, “Creating massive sensor networks for field Phenotyping,” Proceedings of 2017 EFITA WCCA CONGRESS, pp. 167–168, Jun. 2017.
G. Marques, and R. Pitarma, “Agricultural environment monitoring system using wireless sensor networks and IoT,” Proceedings of 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), IEEE, pp. 1–6, June 2018.
T. Fukatsu, T. Kiura, M. Hirafuji, “A web-based sensor network system with distributed data processing approach via web application,” Computer Standards & Interfaces, vol. 33, no. 6, pp. 565–573, Nov. 2011.
A. Kamilaris, A. Fonts, and F. X. Prenafeta-Bold?, “The rise of blockchain technology in agriculture and food supply chains,” Trends in Food Science & Technology, vol. 91, pp. 640–652, Jan. 2019.
A. Al Omar, M. S. Rahman, A. Basu, and S. Kiyomoto, “Medibchain: A blockchain based privacy preserving platform for healthcare data,” Proceedings of International conference on security, privacy and anonymity in computation, communication and storage, pp. 534–543, Dec. 2017.
S. L. Cichosz, M. N. Stausholm, T. Kronborg, P. Vestergaard, and O. Hejlesen, “How to use blockchain for diabetes health care data and access management: an operational concept,” Journal of diabetes science and technology, vol. 13, no. 2, pp. 248–253, July 2018.
H. Liu, Y. Zhang, and T. Yang, “Blockchain-enabled security in electric vehicles cloud and edge computing,” IEEE Network, vol.32, no. 3, pp. 78–83, Jan. 2018.
M. Cebe, E. Erdin, K. Akkaya, H. Aksu, and S. Uluagac, “Block4forensic: An integrated lightweight blockchain framework for forensics applications of connected vehicles,” IEEE Communications Magazine, vol. 56, no. 10, pp. 50–57, Oct. 2018.
Yu, Y., Y. Li, J. Tian, and J. Liu, “Blockchain-based solutions to security and privacy issues in the internet of things,” IEEE Wireless Communications, vol. 25, no.6, pp. 12–18, Dec. 2018.
C. Machado, and A. A. M. Fröhlich, “IoT data integrity verification for cyber-physical systems using blockchain,” Proceedings of 2018 IEEE 21st International Symposium on Real-Time Distributed Computing (ISORC), pp. 83–90, May 2018.
V. Strobel, E. Castelló Ferrer, and M. Dorigo, “Managing byzantine robots via blockchain technology in a swarm robotics collective decision-making scenario,” Proceedings of the 17th International Conference on Autonomous Agents and Multi Agent Systems, pp. 541–549, July 2018.
T. Fukatsu, and M. Hirafuji, “Web-based sensor network system Field Servers for practical agricultural applications,” Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing, pp. 1–8, Sep. 2014.
K. Brun-Laguna, A. L. Diedrichs, J. E. Chaar, D. Dujovne, J. C. Taffernaberry, G. Mercado, and T. Watteyne, “A demo of the PEACH IoT-based frost event prediction system for precision agriculture,” Proceedings of 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 1–3, June 2016.
F. Karim, and F. Karim, “Monitoring system using web of things in precision agriculture,” Procedia Computer Science, vol. 110, pp. 402–409, Jan. 2017.
S. Zhao, Z. Zhang, D. Xiao, and K. Xiao, “A Turning Model of Agricultural Robot Based on Acceleration Sensor,” IFAC-PapersOnLine, vol. 49, no. 16, pp. 445–450, Jan. 2016.
H. Orii, S. Tsuji, T. Kouda, and T. Kohama, “Tactile texture recognition using convolutional neural networks for time-series data of pressure and 6-axis acceleration sensor,” Proceedings of 2017 IEEE International Conference on Industrial Technology (ICIT), pp. 1076–1080, March 2017.
N. Dawar, and N. Kehtarnavaz, “Action detection and recognition in continuous action streams by deep learning-based sensing fusion,” IEEE Sensors Journal, vol. 18, no. 23, pp. 9660–9668, Sep. 2018.
W. Jiang, and Z. Yin, “Human activity recognition using wearable sensors by deep convolutional neural networks,” Proceedings of the 23rd ACM international conference on Multimedia, pp. 1307–1310, July 2015.
M. M. Hassan, M. Z. Uddin, A. Mohamed, and A. Almogren, “A robust human activity recognition system using smartphone sensors and deep learning,” Future Generation Computer Systems, vol. 81, pp. 307–313, April 2018.
N. Akazawa, “Python De Ugokashite Manabu Atarashii Block Chain No Kyokasho,” Japan: FLOC Inc., November 2019.
C. Kasaki, K. Shinohara, and H. Maruyama, “Block Chain Application Kaihatsu No Kyokasho,” Japan: Mainavi Inc., Feb. 2018.
J. Yamazaki, S. Ando, and S. Tanaka, “Block Chain Programing: Kaso tsuka Nyumon,” Japan: KODANSHA Inc., August 2017.
A. Watanabe, and Y. Matsumoto, “Hajimete No Block Chain Application; Ethereum Ni Yoru Smart Contract Kaihatsu Nyumon,” Japan: SHOEISHA Inc., August 2017.
T. Shimizu, K. Tamachi, and Y. Uenohara, “Block Chain No Kakushingijyutu ~Hyperledger Fabric Ni Yoru Application Kaihatsu,” Japan: RicTelecom Inc., June 2018.