ARCHIVES

1. Retrieved from www.statista.com/number-of-monthly-active-whatsapp-users.
2. Ravishankara K, Dhanush, Vaisakh, Srajan I S, “International Journal of Engineering Research & Technology(IJERT)”, ISSN: 2278-
0181, Vol. 9 Issue 05, May-2020
3. Dr. D. Lakshminarayanan, S. Prabhakaran, “DogoRangsang Research Journal”, UGC Care Group I Journal, Vol-10Issue-07 No.
12 July 2020
4. F. Meng Cai, “PubMed Central”, PMCID: PMC7944036, PMID: 33732917
5. Abdullah, A., Brobst, S, Pervaiz.I., Umer M.,and A.Nisar.2004. Learning dynamics of pesticide abuse through data mining.
Proceedings of Australian Workshop on Data mining and Web Intelligence, New Zealand, January, 2004.
6. https://www.interaction-design.org/literature/topics/web-design
7. Radhika, Narendiran, “Kind of Crops and Small Plants Prediction using IoT with Machine Learning,” International Journal of
Computer & Mathematical Sciences April 2018, pp. 93-97
8. Available from: http://www. statista.com/statistics/260819/numberof-monthly-activeWhatsApp-users. Number of monthly active
WhatsApp users worldwide from April 2013 to February 2016(in millions).Journal of Innovative Research in Computer and
Communication Engineering January 2017, pp. 318- 323
9. Ahmed, I., Fiaz, T., “Mobile phone to youngsters: Necessity or addiction”, African Journal of Business ManagementVol.5 (32), pp.
12512-12519, Aijaz, K. (2011).
10. Mike Dickson, “An examination into yahoo messenger 7.0 contact identification”, Digital Investigation, ScienceDirect, vol. 3, issue 3,
pp. 159-165, 2006.
11. Akash Raj N, Balaji Srinivasan, Deepit Abhishek D, SarathJeyavanth J, Vinith Kannan A, “IoT based Agro Automation System using
Machine Learning Algorithms”, International Journal of Innovative Research in Science, Engineering and Technology November
2016, pp. 19938- 19342
12. D Ramesh ,B Vishnu Vardhan. Analysis Of Crop Yield Prediction Using Data Mining Techniques. IJRET: International Journal of
Research in Engineering and Technology.(IJERT), 2015.