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http://dx.doi.org/10.9728/dcs.2018.19.7.1423

Predicting Plant Biological Environment Using Intelligent IoT  

Ko, Sujeong (Department of Computer Software, Induk University)
Publication Information
Journal of Digital Contents Society / v.19, no.7, 2018 , pp. 1423-1431 More about this Journal
Abstract
IoT(Internet of Things) is applied to technologies such as agriculture and dairy farming, making it possible to cultivate crops easily and easily in cities.In particular, IoT technology that intelligently judge and control the growth environment of cultivated crops in the agricultural field is being developed. In this paper, we propose a method of predicting the growth environment of plants by learning the moisture supply cycle of plants using the intelligent object internet. The proposed system finds the moisture level of the soil moisture by mapping learning and finds the rules that require moisture supply based on the measured moisture level. Based on these rules, we predicted the moisture supply cycle and output it using media, so that it is convenient for users to use. In addition, in order to reduce the error of the value measured by the sensor, the information of each plant is exchanged with each other, so that the accuracy of the prediction is improved while compensating the value when there is an error. In order to evaluate the performance of the growth environment prediction system, the experiment was conducted in summer and winter and it was verified that the accuracy was high.
Keywords
Exchange of information between plants; Intelligent IoT; Learning of supply cycle of soil moisture; Prediction of growth environment; Soil moisture;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 H. Kim, B. Park, and Y. Cho, "Smart Outlet System for Single-person Household based on IoT(Internet of Things)", Journal of Digital Contents Society, Vol. 18, No. 5, pp. 895-904, 2017.   DOI
2 P. J. Sarkar, S. Chanagala, "A Survey on IOT based Digital Agriculture Monitoring System and Their impact on optimal utilization of Resources", IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) , Vol. 11, Issue 1, pp. 1-4, 2016.
3 A Tzounis, N Katsoulas, T Bartzanas, C Kittas, "Internet of Things in agriculture, recent advances and future challenges", Biosystems Engineering, Vol. 164, pp. 31-48, 2017.   DOI
4 S. Rajeswari, K. Suthendran, K. Rajakumar, and K. Mythili, "A smart agricultural model by integrating IoT, mobile and cloud-based big data analytics", International Conference on Intelligent Computing and Control (I2C2), Vol. 118, pp. 365-369, 2018.
5 Seok-Jong Yoo, "Comprehensive Performance Evaluation Model for Collaborative Filtering", Journal of Korea Computer Information Society, Vol. 17, No. 4, pp. 83-90 2012.
6 D.R. Taaffe , J. Thompson, G. Butterfield, and R. Marcus, "Accuracy of equations to predict basal metabolic rate in older women", Journal of the American Dietetic Association, Vol. 95, No. 12, pp. 1387-1392, 1995.   DOI
7 A. Khan, S. Singh, and S. Shukla, "Automatic Irrigation System Using internet Of Things," International Journal for Research in Applied Science & Engineering Technology (IJRASET), Vol. 4, Issue 3, pp. 1032-1036, 2016.
8 M.S. Mahdavinejad, et al., Machine learning for Internet of Things data analysis: a survey, Digital Communications and Networks, https://doi.org/10.1016/j.dcan.2017.10.002, 2018.   DOI
9 Muhammad, Abubakr , Haider, Bilal , Ahmad, Zahoor, "IoT Enabled Analysis of Irrigation Rosters in the Indus Basin Irrigation System", IProcedia engineering, Vol. 154 , pp. 229-235, 2016.   DOI
10 H. Kuruva and B. Sravani, " Remote Plant Watering And Monitoring System Based On Iot", International Journal For Technological Research In Engineering, Vol. 4, Issue 4, pp. 668-671, 2016.
11 Choi, Wonhyuk, and Ji Min-Seok, "A Study on the Development of Smart Farm System Using Wireless Communication," Korea Entertainment Industry Journal, Vol. 8, No. 4, pp. 387-393, 2014.   DOI
12 Yeon-hee Lee, Yoong-Sik Yoo, and Cheol-sik Pyo, "Big Data Technology Status for Intelligent IoT", Instrumentation Technology, Korea Electronics and Telecommunications Research Institute, Vol. 9, pp. 118-123, 2017.
13 H. Mora, S. Teresa, Maria, D. Gil, and J. Magnus, "Collaborative Working Architecture for IoT-Based Applications", Sensors, Vol. 18, No. 6, http://dx.doi.org/10.3390/s18061676, 2018.   DOI
14 J. Mills, T. Metcalfe, M. Lochrie, and A. Gradinar, "Rare Occurrence: Exploring IoT, news media, calm interfaces and infrequent interactions", Proceedings of the 30th International BCS Human Computer Interaction Conference, http://dx.doi.org/10.14236/ewic/HCI2016.60 2016.
15 Sang-Kyun Kim, "Media-centric Intelligent Things Evolving into the Internet", Korea Society of Mechanical Education, Vol. 22, No. 3, pp. 14-19, 2015.
16 Tom M. Mitchell, Machine Learning, McGraw-Hill Companies, 1997.