Published In : IJCAT Journal Volume 2, Issue 11

Date of Publication : November 2015

Pages : 469 - 472

Figures :01

Tables : --

Publication Link :A Smart Farming Approach: Using Cloud and FFT Methodology

 

 

 

Sneha Gumaste : M.E Final year, Department of CSE, Pune University,AISSMS Pune-411001,MH, India

Anilkumar Kadam : Professor, Department of CSE, Pune University,AISSMS Pune-411001,MH,, India

 

 

 

 

 

 

 

Genetic Algorithm

Precision Agriculture

FFT

Using Advanced IT techniques such as cloud for storage and combination of genetic algorithm and FFT provides weather forecasts to users on their android device. This fast and reliable technique would help for smart decision making and improve overall pre and post agricultural activities.

 

 

 

 

 

 

 

 

 

[1] M. R.Bendre, R.C.Thool, V. R. Thool,”Big Data in Precision Agriculture: “Weather Forecasting for Future Farming”, 2015 1st International Conference on Next Generation Computing Technologies (NGCT-2015) [2] R.D.Grisso,M.M..Alley, P. McClellan, D. E. Brann, and S.J.Donohue, “Precision farming. a comprehensive approach,” 2009. [3] R. D. Ludena, A. Ahrary et al., “Big data approach in an ict agriculture project,” in Awareness Science and Technology and Ubi-Media Computing (iCAST- UMEDIA), 2013 International Joint Conference on. IEEE,2013, pp. 261–265. [4] B. Brisco, R. Brown, T. Hirose, H. McNairn, and K. Staenz, “Precision agriculture and the role of remote sensing: a review,” Canadian Journal of Remote Sensing, vol. 24, no. 3, pp. 315–327, 1998. [5] S. W. Searcy, Precision farming: A new approach to crop management.Texas Agricultural Extension Service, Texas A & M University System,1997. [6] K. Cukier and V. Mayer-Schoenberger, “Rise of big data: How it’s changing the way we think about the world, the,” Foreign Aff., vol. 92,p. 28, 2013. [7] B. Rao, P. Saluia, N. Sharma, A. Mittal, and S. Sharma, “Cloud computing for internet of things & sensing based applications,” in Sensing Technology (ICST), 2012 Sixth International Conference on.IEEE, 2012, pp. 374–380. [8] F. Awuor, K. Kimeli, K. Rabah, and D. Rambim, “Ict solution architecture for agriculture,” in IST-Africa Conference and Exhibition (ISTAfrica),2013. IEEE, 2013, pp. 1–7. [9] A. B. Patel, M. Birla, and U. Nair, “Addressing big data problem using hadoop and map reduce,” in Engineering (NUiCONE), 2012 Nirma University International Conference on. IEEE, 2012, pp. 1–5. [10] D. Borthakur, “The hadoop distributed file system: Architecture and design,” Hadoop Project Website, vol. 11, no. 2007, p. 21, 2007. [11] S. Nandurkar, V. Thool, and R. Thool, “Design and development of precision agriculture system using wireless sensor network,” in Automation, Control, Energy and Systems (ACES), 2014 First International Conference on. IEEE, 2014, pp. 1–6. [12] B. Venkatalakshmi and P. Devi, “Decision support system for precision agriculture,” International Journal of Research in Engineering and Technology, vol. 3, no. 7, pp. 849–852, 2014. [13] R. Saravanan, ICTs for Agricultural Extension: Global Experiments, Innovations and Experiences. New India Publishing, 2010. [14] R. Khosla, “Precision agriculture: challenges and opportunities in a flat world,” in 19th World Congress of Soil Science, 2010. [15] A. McBratney, B. Whelan, T. Ancev, and J. Bouma, “Future directions of precision agriculture,” Precision Agriculture, vol. 6, no. 1, pp. 7–23, 2005. [16] L. Wang, G. Von Laszewski, A. Younge, X. He, M. Kunze, J. Tao, and C. Fu, “Cloud computing: a perspective study,” New Generation Computing, vol. 28, no. 2, pp. 137–146, 2010. [17] I. H. Witten and E. Frank, Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, 2005. [18] X. Wu, X. Zhu, G.-Q. Wu, and W. Ding, “Data mining with big data,” Knowledge and Data Engineering, IEEE Transactions on, vol. 26, no. 1,pp. 97–107, 2014. [19] S. Ghemawat, H. Gobioff, and S.-T. Leung, “The google file system,”in ACM SIGOPS operating systems review, vol. 37, no. 5. ACM, 2003, pp. 29– 43. [20] “How to work with huge and fast data sets,” http://http://in.mathworks.com/discovery/big-datamatlab. html, 2015. [21] J. W. Taylor and R. Buizza, “Neural network load forecasting with weather ensemble predictions,” Power Systems, IEEE Transactions on, vol. 17, no. 3, pp. 626–632, 2002. [22] Kalpana Parsi and M.Laharika “A Comparative Study of Different Deployment Models in a Cloud”International Journal of Advanced Research in Computer Science and Software Engineering Volume 3, Issue 5, May 2013