A Review of Different Methods For Implementing Smart Agriculture On An Iot Platform

International Journal of Computer Science and Engineering
© 2020 by SSRG - IJCSE Journal
Volume 7 Issue 12
Year of Publication : 2020
Authors : Nitin Kumar Vishwakarma, Dr.Ragini Shukla, Dr. Ravi Mishra

pdf
How to Cite?

Nitin Kumar Vishwakarma, Dr.Ragini Shukla, Dr. Ravi Mishra, "A Review of Different Methods For Implementing Smart Agriculture On An Iot Platform," SSRG International Journal of Computer Science and Engineering , vol. 7,  no. 12, pp. 5-8, 2020. Crossref, https://doi.org/10.14445/23488387/IJCSE-V7I12P102

Abstract:

Nowadays, everything is feasible using the Internet of things, which relates everything present in this universe together using the Internet. Using different sensors and massive data, different information is collected, which is considered useful. IOT platform is very beneficial for making any system smart and environmentally friendly. Adequate water management techniques are used to increase agriculture of any yield which needed proper water irrigation management. For proper water management, a wireless sensor networks system has to be used. Wireless sensor network has given us a decreased price; better control, easier to use an irrigation system to improve farming by implementing WSN in the field has enhanced farmers ' efficiency and productivity. This method can help assess field parameters, i.e., state of soil atmospheric condition (temperature, humidity, biomass of plants and animals, and shocks during product transport. Advanced irrigation system where water irrigation system can allow water to sprinkle smoothly through the solenoid valve to the roots, either on the exterior layer of the soil or straight on the base area. Our research aims to frame an infrastructure that grants the rapid development of multiple divergent IOT applications with minimum technical skill. Our research aims to present a software-centric agricultural representation and implementation of IOT.

Keywords:

Internet of thing, smart farm, wireless sensor network, Irrigation system

References:

[1] Biradar, H. B., &Shabadi, L. Review on IOT based multidisciplinary models for smart farming. 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology. (2017). (RTEICT).doi:10.1109/rteict.2017.8256932.
[2] Dobermann A, Blackmore S, Cook SE, Adamchuk VI. Precision Farming: Challenges and Future Directions. In: Proc. ICSC '04 Proceedings of 2004 (4th) International Crop Science Congress, Brisbane, Australia; (2004) 19.
[3] McBratney A, Whelan B, Ancev T, Bouma J. Future directions of precision agriculture. Springer Precision Agric.6(1)( 2005) 7–23.
[4] [3] Keshtgary M, Deljoo A. An efficient wireless sensor network for precision agriculture. Can. J. Multimedia Wireless Netw.3(1) (2012) 1–5.
[5] Shinghal K, Noor A, Srivastava N, Singh R. Wireless sensor networks in agriculture: potato farming. Int. J. Eng. Sci. Technol.2(8)( 2010) 3955–63.
[6] Baggio A. Wireless sensor networks in precision agriculture. Neth. IEEE Pervasive Comput.;3(1)( 2004) 38–45.
[7] Nikkila¨ R, Seilonen I, Koskinen K. Software architecture for farm management information systems in precision agriculture. Comput. Electron. Agric.;70(2)( 2010) 328–36.
[8] S.I.Rajan, M.Udhaya Devi and A.Hepzi Kutty, Embedded Based Smart Agriculture Monitoring and Control Systems SSRG International Journal of Electronics and Communication Engineering 5(4) (2018) 7-10.
[9] Murakami E, Saraiva M, Ribeiro M, Cugnasca E, Hirakawa R, Correa P. An infrastructure for developing distributed service-oriented information systems for precision agriculture. Comput. Electron. Agric.58(1) (2007) 37–48.
[10] Sørensen CG, Fountas S, Nash E, Pesonen L, Bochtis D, Pedersen SM, et al. Conceptual model of a future farm management information system. Comput. Electron. Agric. 72(1) (2010) 37–47.
[11] HajarMousanif, Hasnasabah, YasminaDouiji, and YounesOualadSayad, From Big Data to Big Projects: a Step-by-step Roadmap, IEEE International Conference on Future Internet of Things and Cloud, 373-378, 2014.
[12] Y. sayad, HajarMousannif, and Michel Le Page, Crop Management Using BIG DATA, IEEE, 2015.
[13] D.Soundarrajan, M.M.Vijayalakshmi, and V.E.NethajiMariappan, Assessing a Suitable Method in 2017 2nd IEEE International Conference On Recent Trends in Electronics Information & Communication Technology (RTEICT), May 19-20, 2017, India 1926 Estimating Evapotranspiration for Crop Water Requirement, IEEE 240-243, 2010.
[14] Santoshkumar and UdaykumarR.Y, Development of WSN System for Precision Agriculture, IEEE Sponsored 2nd International Conference on Innovations in Information Embedded and Communication Systems, 2015.
[15] N. Sakthipriya, An Effective Method for Crop Monitoring Using Wireless Sensor Network, Middle-East Journal of Scientific Research 20(9) (2014) 1127-1132.
[16] Fourati, M.A., Chebbi, W., Kamoun, A., 2014. Development of a web-based weather station for irrigation scheduling. In: Information Science and Technology (CIST), Third IEEE International Colloquium in IEEE, (2014) 37–42.
[17] Han, J., Kamber, M. Data Mining Concepts and Techniques seconded. Morgan Kaufmann Publishers. 2006.