Modelling and Analysis of IoT Technology Using Neural Networks In Agriculture Environment

Emre Özbilge, Yönal Kırsal, Ersin Çaglar

Abstract


The rapid development of internet, cloud computing and sensor networks lead to develop and deploy the Internet of Things (IoT) which is a hot topic for the researchers. It has started to be used in various areas. Thus, agriculture is one of the most popular IoT research area. In agriculture environment, farming platform area is being a huge open structure and farmers must protect the crops from extreme weather conditions namely; wind speed/direction, precipitation, air temperature, solar radiations, and relative humidity etc. These extreme weather conditions effect crops and farms very significantly. But with the benefits of Internet of Things technologies, an agriculture business become more easy and efficient despite extreme weather conditions. This paper provides a model of smart agriculture environment using neural networks that helps the farmers to make more accurate predictions for the future according to weather conditions. This paper proposed a time-delay radial basis function (TDRBF) network approach to model temporal and sequential relationship between the various weather condition sensor readings from the agricultural environment. The performance of the acquired network model was analysed statistically and presented in this paper. As a result, the results of the neural network model show that it could be used to predict the desired weather condition sensor readings beforehand in order to increase the productivity in agricultural environment and also it is possible that by using such an intelligent learning system could provide a life-long learning for the changing weather conditions in the farming area over the years.

Keywords


Neural networks, internet of things, agriculture, machine learning, intelligent systems.

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References


Ashton, K. (2009). That 'internet of things' thing, RFID journal, 22(7), 97-114, 2009.

Awuor, F.; Kimeli, K.; Rabah, K.; Rambim, D. (2013). ICT solution architecture for agriculture, In 2013 IST-Africa Conference & Exhibition, IEEE, 1-7, 2013.

Ayaz, M.; Ammad-Uddin, M.; Sharif, Z.; Mansour, A.; Aggoune, E.H.M. (2019). Internet-of- Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk, IEEE Access, 7, 129551- 129583, 2019.
https://doi.org/10.1109/ACCESS.2019.2932609

Benoudjit, N.; Verleysen, M. (2003). On the kernel widths in radial-basis function networks, Neural Processing Letters, 18(2), 139-154, 2003.
https://doi.org/10.1023/A:1026289910256

Berthold, M.R. (1994). A time delay radial basis function network for phoneme recognition, In Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), IEEE, 7, 4470-4472, 1994.

Bishop, C.M. (1995). Neural networks for pattern recognition, Oxford University Press, 1995.
https://doi.org/10.1201/9781420050646.ptb6

Boden, M. (2002). A guide to recurrent neural networks and backpropagation, The Dallas Project, 2002.

Griffith, B.A.; Hawkins, J.M.B.; Orr, R.J.; Blackwell, M.S.A.; Murray, P.J. (2013). The North Wyke Farm Platform: methodologies used in the remote sensing of the quantity and quality of drainage water, In Revitalising Grasslands to Sustain our Communities: Proceedings, 22nd International Grassland Congress, 15-19 September, 2013, New South Wales Department of Primary Industry, Sydney, Australia, 1453-1455, 2013.

Haque, M.S.T.; Rouf, K.A.; Khan, Z.A.; Emran, A.; Zishan, M.S.R. (2019). Design and Implementation of an IoT based Automated Agricultural Monitoring and Control System, In 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), IEEE, 13-16, 2019.

Harris, P.; Sint, H.M.; Griffith, B.A.; Hawkins, J.M.B.; Evans, J.; Orr, R.J.; Lee, M.R.F. (2016). The North Wyke Farm Platform: data portal, in The multiple roles of grassland in the European bioeconomy, Proceedings of the 26th General Meeting of the European Grassland Federation, Trondheim, Norway, NIBIO, 618-620, 2016.

Harrod, T.R.; Hogan, D.V. (2008). The soils of North Wyke and rowden. Soil survey of England and Wales, Rothamsted Research, Okehampton, 2008.

Haykin, S. (1994). Neural networks: a comprehensive foundation, Prentice Hall PTR, 1994.

Kaplan, D.; Glass, L. (2012). Understanding nonlinear dynamics, Springer Science & Business Media, 2012.

Kapoor, A.; Bhat, S.I.; Shidnal, S.; Mehra, A. (2016). Implementation of IoT (Internet of Things) and Image processing in smart agriculture, In 2016 International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), IEEE, 21-26, 2016.
https://doi.org/10.1109/CSITSS.2016.7779434

Khattab, A.; Abdelgawad, A.; Yelmarthi, K. (2016). Design and implementation of a cloud-based IoT scheme for precision agriculture, In 2016 28th International Conference on Microelectronics(ICM), IEEE, 201-204, 2016.
https://doi.org/10.1109/ICM.2016.7847850

Kodali, R.K.; Jain, V.; Karagwal, S. (2016). IoT based smart greenhouse, In 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), IEEE, 1-6, 2016.
https://doi.org/10.1109/R10-HTC.2016.7906846

Krintz, C.; Wolski, R.; Golubovic, N.; Lampel, B. et. all (2016). SmartFarm: Improving agriculture sustainability using modern information technology, In KDD Workshop on Data Science for Food, Energy, and Water, 2016.

Lee, M.; Hwang, J; Yoe, H. (2013). Agricultural production system based on IoT, In 2013 IEEE 16Th international conference on computational science and engineering, IEEE, 833-837, 2013.
https://doi.org/10.1109/CSE.2013.126

Mallows, C.L. (1980). Some theory of nonlinear smoothers, The Annals of statistics, 8(4), 695-715, 1980.
https://doi.org/10.1214/aos/1176345067

Patil, K.A.; Kale, N.R. (2016). A model for smart agriculture using IoT, In 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC), IEEE, 543-545, 2016.
https://doi.org/10.1109/ICGTSPICC.2016.7955360

Patil, V.C.; Al-Gaadi, K.A.; Biradar, D.P.; Rangaswamy, M. (2012). Internet of things (Iot) and cloud computing for agriculture: An overview, Proceedings of agro-informatics and precision agriculture (AIPA 2012), India, 292-296, 2012..

Rajesh, D. (2011). Application of spatial data mining for agriculture, International Journal of Computer Applications, 15(2), 7-9.
https://doi.org/10.5120/1922-2566

Sales, N.; Remédios, O.; Arsenio, A. (2015). Wireless sensor and actuator system for smart irrigation on the cloud, In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), IEEE, 693-698, 2015.
https://doi.org/10.1109/WF-IoT.2015.7389138

Sisinni, E.; Saifullah, A.; Han, S.; Jennehag, U.; Gidlund, M. (2018). Industrial internet of things: Challenges, opportunities, and directions, IEEE Transactions on Industrial Informatics, 14(11), 4724-4734, 2018.
https://doi.org/10.1109/TII.2018.2852491

Song, Y.; Ma, J.; Zhang, X.; Feng, Y. (2012). Design of wireless sensor network-based greenhouse environment monitoring and automatic control system, Journal of Networks, 7(5), 838, 2012.
https://doi.org/10.4304/jnw.7.5.838-844

Srinivasan, G.; Vishnu Kumar, N.; Shafeer Ahamed, Y.; Jagadeesan, S. (2017). Providing smart agricultural solution to farmers for better yielding using IoT, Int. J. Adv. Sci. Eng. Res, 2(1), 2017.

Tsai, C.W.; Lai, C.F.; Chiang, M.C.; Yang, L.T. (2013). Data mining for internet of things: A survey, IEEE Communications Surveys & Tutorials, 16(1), 77-97, 2013.
https://doi.org/10.1109/SURV.2013.103013.00206

[Online]. Available: https://www.gartner.com/en/newsroom/press-releases/2017-02-07-gartnersays- 8-billion-connected-things-will-be-in-use-in-2017-up-31-percent-from-2016, Accesed on 22 December 2019.




DOI: https://doi.org/10.15837/ijccc.2020.3.3885



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