Big IoT Data from the Perspective of Smart Agriculture
Subject Areas : Technology ManagementBahareh Jamshidi 1 * , Hossein Dehghanisani 2
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Keywords: Artificial Intelligence Big Data Gartner’s Hype Cycle Internet of Things Smart Agriculture,
Abstract :
Internet of Things (IoT) as an emerging technology in the field of Information and Communication Technology is the next revolution related to the Internet application. IoT focuses on the communication of things such as sensors, drivers, devices, etc., with data collection capability controlling remote communication rather than focusing on the communication between people. Development of smart solutions and new technologies of IoT in agriculture can pave the way to a new paradigm of farming called “Smart Agriculture” by making a fundamental change in all aspects of current practices. IoT-based Smart Agriculture can improve agricultural productivity with more food production through the optimal utilization of the basic resources, minimizing environmental impacts, reducing the costs, and increasing the incomes with linking to the business market that facilitates sustainable agricultural development goals. IoT-based data is a collection of large data called “Big Data” that cannot be processed and managed by traditional databases and conventional management tools. IoT and Big Data technologies are interconnected and it can be predicted that the future of optimal agriculture in the world would not be possible to meet the food demand and sustainability of production without these technologies and Smart Agriculture. This article introduces IoT and Big Data technologies, as well as the relationship between them from the vision of Smart Agriculture. Moreover, the article aims to assist in the decision-making of the strategy from the pre-production stage to the business marketing in the country by assessing life cycle and technology trends. Some of the big IoT data applications in the Smart Agriculture cycle are also introduced.
1- قاسمینژاد، یاسر.، و کتابچی، سیدعلی. بررسی تطبیقی، کاربردها و چالشهای فناوریهای تحلیل بزرگ داده. فصلنامه رشد فناوری. سال پانزدهم، شماره 60. صفحات 66-77، 1398.
2- قربانی، سعید. "کلاندادهها: حجم بازار و روند آتی". https://monitoreconomy.ir/ (دسترسی آبان 1398)
3- زرین، صدف.، علیمحمدی، مهرداد.، و سیادت، سیدحسین. معماری نوین آینده: مدلی نوآور برای کسب و کار بر بستر یکپارچگی رایانش ابری و اینترنتاشیاء. فصلنامه رشد فناوری. سال چهاردهم، شماره 54. صفحات 35-26، 1397.
4- حصارکی، الهام. "تحلیل کلان داده (Big Data)، چالشها و فناوریهای مرتبط". https://blog.faradars.org/big-data-challenges/، 1397. (دسترسی آبان 1398)
5- جمشیدی، بهاره. نقش طیفسنجی بهعنوان یک فناوری غیرمخرب اپتیکی در توسعه کشاورزی هوشمند. فناوری آزمونهای غیرمخرب. دوره 3، شماره 5، 1398.
6- فرخی، غلامرضا.، و گاپله، محبوبه. کشاورزی هوشمند مبتنی بر اینترنتاشیاء. فصلنامه رشد فناوری. سال پانزدهم، شماره 59. صفحات 36-29، 1398.
7- Zhang, L., Dabipi, I.K., and Brown Jr., W.L. “Internet of Things Applications for Agriculture”. In Hassan, Q.F. (ed.), “Internet of Things A to Z: Technologies and Applications”. First Edition, The Institute of Electrical and Electronics Engineers, Inc. John Wiley & Sons, Inc. (2018): 507-528.
8- Lokers, R., Knapen, R., Janssen, S., van Randen, Y., and Jansen, J. “Analysis of Big Data technologies for use in agro-environmental science”. Environmental Modelling and Software 84 (2016): 494-504.
9- Khanna, A., and Kaur, S. “Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture”.Computers and Electronics in Agriculture 157 (2019): 218-231.
10- Feng, C., Wu, H., Zhu, H., and Sun, X. “The design and realization of apple orchard intelligent monitoring system based on internet of things technology”. Advanced Materials Research 546-547 (2012): 898-902.
11- Ping, H., Wang, J., Ma, Z., and Du, Y. 2018. Mini-review of application of IoT technology in monitoring agricultural products quality and safety. International Journal of Agricultural and Biological Engineering 11(5): 35-45.
12- Tzounis, A., Katsoulas, N., Bartzanas, T., and Kittas, C. “Internet of Things in agriculture, recent advances and future challenges”. Biosystems Engineering 164 (2017): 31-48.
13- Sethi, P., and Sarangi, S.R. “Internet of Things: Architectures, protocols, and applications”. Journal of Electrical and Computer Engineering, Volume 2017, Article ID 9324035 (2017): 1-25.
14- SBL, “Transform your business with Big Data and Internet of Things (IoT)”. (2018). https://blog.sblcorp.com/transform-business-big-data-iot/ (accessed December 2019).
15- Wolfert, S., Ge, L., Verdouw, C., and Bogaardt, M.j. “Big Data in Smart Farming – A review”. Agricultural Systems 153 (2017): 69-80.
16- Gartner, “Gartner Hype Cycle”. (2019). https://www.gartner.com/en/research/methodologies/ (accessed December 2019).
17- Gartner, “Hype cycle for emerging technologies, 2018”. (2018). https://www.gartner.com/smarterwithgartner (accessed December 2019).
18- Meola, A. “Why IoT, big data & smart farming are the future of agriculture”. (2016). https://www.businessinsider.com (accessed December 2019).
19- Gubbi, J., Buyya, R., Marusic, S., and Palaniswami, M. “Internet of Things (IoT): A vision, architectural elements, and future directions”. Future Generation Computer Systems 29 (2013): 1645-1660.
20- Dan, L., Xin, C., Chongwei, H., and Liangliang, J. “Intelligent agriculture greenhouse environment monitoring system based on IoT technology”. International Conference on Intelligent Transportation, Big Data and Smart City, Halong Bay, Vietnam (2015).
21- Tseng, F.H., Cho, H.H., and Wu, H.T. “Applying big data for intelligent agriculture-based crop selection analysis”. IEEE Access 7 (2019): 116965-116974.
22- Patil, S.S., and Thorat, S.A. “Early detection of grapes diseases using machine learning and IoT”. Second International Conference on Cognitive Computing and Information Processing (CCIP), Mysuru, India (2016).
23- Huawei, “Huawei helps modernize stock breeding using the Internet of Things”. (2016). http://eblog.huawei.com/chinas-first-internet-goats (accessed December 2019).
24- Iotworm,“Agriculture Internet of Things (IoT) Technology /Applications”.(2016). http://iotworm.com/agriculture-internet-of-thingsiot-technology-applications/ (accessed December 2019).
25- Yan, B., Shi, P., and Huang, G. “Development of traceability system of aquatic foods supply chain based on RFID and EPC internet of things”. Transactions of the Chinese Society of Agricultural Engineering 29 (2013): 172-183.
26- Li, P., and Wang, J., “Research progress of intelligent management for greenhouse environment information”. Nongye Jixie Xuebao = Transactions of the Chinese Society for Agricultural Machinery 45 (2014): 236-243.
27- Kaloxylos, A., Eigenmann, R., Teye, F., Politopoulou, Z., Wolfert, S., Shrank, C., Dillinger, M., Lampropoulou, I., Antoniou, E., Pesonen, L., et al., “Farm management systems and the Future Internet era”. Computers and Electronics in Agriculture 89 (2012): 130-144.
28- Luo, H., Yang, P.L., Li, Y.K., and Xu, F.P. “An intelligent controlling system for greenhouse environment based on the architecture of the internet of things”. Sensor Letters 10 (2012): 514-522.
29- Bang, J., Lee, I., Noh, m., Lim, J., and Oh, H. “Design and implementation of a smart control system for poultry breeding's optimal LED environment”. International Journal of Control and Automation 7, no.2 (2014): 99-108.
30- Khelifa, B., Amel, D., Amel, B., Mohamed, C., and Tarek, B. “Smart irrigation using Internet of Things”. Fourth International Conference on Future Generation Communication Technology (FGCT), University of Bedfordshire, Luton (near London), UK (2015).
31- Verdouw, C.N., Beulens, A.J.M., and van der Vorst, J.G.A.J. “Virtualization of floricultural supply chains: a review from an internet of things perspective”. Computers and Electronics in Agriculture 99 (2013): 160-175.