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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 31177


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10011758
Development of an Intelligent Decision Support System for Smart Viticulture
Abstract:
The Internet of Things (IoT) represents the best option for smart vineyard applications, even if it is necessary to integrate the technologies required for the development. This article is based on the research and the results obtained in the DISAVIT project. For Smart Agriculture, the project aims to provide a trustworthy, intelligent, integrated vineyard management solution that is based on the IoT. To have interoperability through the use of a multiprotocol technology (being the future connected wireless IoT) it is necessary to adopt an agnostic approach, providing a reliable environment to address cyber security, IoT-based threats and traceability through blockchain-based design, but also creating a concept for long-term implementations (modular, scalable). The ones described above represent the main innovative technical aspects of this project. The DISAVIT project studies and promotes the incorporation of better management tools based on objective data-based decisions, which are necessary for agriculture adapted and more resistant to climate change. It also exploits the opportunities generated by the digital services market for smart agriculture management stakeholders. The project's final result aims to improve decision-making, performance, and viticulturally infrastructure and increase real-time data accuracy and interoperability. Innovative aspects such as end-to-end solutions, adaptability, scalability, security and traceability, place our product in a favorable situation over competitors. None of the solutions in the market meet every one of these requirements by a unique product being innovative.
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References:

[1] L. Jianbang, Z. Shuxue, L. Aihua, Y. Ye, "Application of Internet of things in weather modification service in Anhui Province". Meteorological science and technology, vol.42, pp. 1143-1146
[2] S. Heble, A. Kumar, K. V. V. D. Prasad, S. Samirana, P. Rajalakshmi and U. B. Desai, "A low power IoT network for smart agriculture," 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), pp. 609-614, 2018.
[3] Smart Agriculture Market by Agriculture Type, Hardware, Software, Services, Application and Geography - Global Forecast to 2023, August 2018, Markets and Markets.
[4] K. A. Patil and N. R. Kale, "A model for smart agriculture using IoT," 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC), Jalgaon, pp. 543-545, 2016.
[5] J. Burrell, T. Brooke and R. Beckwith, "Vineyard computing: sensor networks in agricultural production," in IEEE Pervasive Computing, vol. 3, no. 1, pp. 38-45, Jan.-March 2004, doi: 10.1109/MPRV.2004.1269130.
[6] Smiljkovikj, K., Gavrilovska, L. SmartWine: Intelligent End-to-End Cloud-Based Monitoring System. Wireless Pers Commun 78, 1777–1788 (2014). https://doi.org/10.1007/s11277-014-1905-x
[7] Cagnetti, M., Leccese, F., & Trinca, D. (2013). A new remote and automated control system for the vineyard hail protection based on ZigBee sensors, raspberry-Pi electronic card and WiMAX. Journal of Agricultural Science and Technology. B, 3(12B), 853.
[8] Trilles, Sergio, Joaquín Torres-Sospedra, Óscar Belmonte, F. Javier Zarazaga-Soria, Alberto González-Pérez, and Joaquín Huerta. "Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease." Sustainable Computing: Informatics and Systems (2019).
[9] Bajwa, Imran & Munir, M. & Schlegel, Viktor. (2019). An Intelligent and Secure Smart Watering System using Fuzzy Logic and Blockchain. Computers & Electrical Engineering. 77. 109-119. 10.1016/j.compeleceng.2019.05.006.
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