Book Details

Application of Cloud Computing in Sericulture Monitoring

IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Download this PDF format


Cloud computing has becoming beneficial to various users in different fields. Many cloud providers are now providing various services to facilitate the user needs. Storage of measurement data is a very important aspect in various measurement and monitoring applications. This paper discusses the application of cloud computing in sericulture monitoring. In sericulture farms, most important factors in environment that influence the physiology of insects are temperature and humidity. Air temperature and relative humidity determines the growth of silkworm and the quantity and quality of cocoons. Farmers are really needs to take care about the measurement of temperature and relative humidity in silkworm rearing environment. This study focuses on analyzing and implementing cloud computing for sericulture monitoring application. Air temperature and relative humidity are measured and updated to a cloud service provider. From the cloud storage data are viewed through mobile phone, laptop or PC with internet connectivity. Hardware and software development of system are discussed. Typical measurements with the present system are reported.


[1] F. Xhafa and N. Bessis (Eds.), Intercooperative Collective Intelligence: Techniques and Applications, 2014, Springer.

[2] H. Xia, I. Asif and X. Zhao, Cloud-ECG for real time ECG monitoring and analysis, Computer methods and programs in biomedicine, Vol. 110, 2013, pp 253 – 259.

[3] R. Deepa and K. Boopathy, Cloud Care: A remote health monitoring system, International Journal of Engineering Science and Innovative Technology (IJESIT) Vol. 3(1), 2014, pp. 264 – 271.

[4] G. Sahoo, S. Mehfuz and R. Rai, Applications of Cloud Computing for Agriculture Sector, CSI communications, 2013, pp. 10 – 13.

[5] S. Jeong, H. Jeong, H. Kim and H. Yoe, Cloud Computing based Livestock Monitoring and Disease Forecasting system, International Journal of Smart Home, Vol. 7(6), 2013, pp. 313 – 320.

[6] T. Singh, M.M. Bhat, and M.A. Khan, Insect Adaptations to Changing Environments – Temperature and Humidity. Int. J. Indust. Entomol. 19(1), 2009, pp. 155-164.

[7] V. K. Rahmathulla, Management of climatic factors for successful silkworm (Bombyx mori L.) crop and higher silk production: A Review. Psyche: A Journal of Entomology, 2012, pp. 1-12.

[8] Y.K. Peng and M. Ohura, Remote automated environmental control system for insect production. Applied Engineering in Agriculture, vol. 16(6), 2000, pp. 715 – 721.

[9] N. Raste, A. Kulkarni, and G. Bhandari, Optimizing yield of silk by zone based intelligent control system. International Journal of Science, Engineering and Technology, Vol. 2(7), 2014, 1579-1582.

[10] Ohura, M. (2003). Development of an automated warehouse type silkworm rearing system for the production of useful materials. Journal of Insect Biotechnology and Sericology, vol. 72(3), 163-169.


Cloud computing, farm management, silkworm, sericulture, Microcontroller.

  • Format Volume 5, Issue 1, No 26, 2017
  • Copyright All Rights Reserved ©2017
  • Year of Publication 2017
  • Author E.Thirumeni, K. Vairamani
  • Reference IJCS-283
  • Page No 1839-1848

Copyright 2022 SK Research Group of Companies. All Rights Reserved.