Automated Farming and Nutrition Deficiency Detection using Swarm Bots
T. Rajasekar1, M. Arun Kumar2, K. Mohamed Ismail3, M. Sabarimuthu4

1T. Rajasekar, Assistant Professor, Department of Electronics and Communication Engineering, Agni College of Technology, Chennai –  (Tamil Nadu) India.
2M. Arun Kumar*, Assistant professor, Department of Electronics and Communication Engineering, GITAM School of Technology, Bengaluru campus, Bengaluru (Karnataka) India.
3K. Mohamed Ismail, Assistant professor, Department of Electronics and Communication Engineering, Agni College of Technology, Chennai  (Tamil Nadu) India.
4M. Sabarimuthu, Assistant Professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai – (Tamil Nadu) India.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 24, 2019. | Manuscript published on January 10, 2020. | PP: 1168-1172 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7849129219/2020©BEIESP | DOI: 10.35940/ijitee.B7849.019320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Agribusiness has a critical job in the financial texture of India. Agronomy does not have sufficient workforce to exert in field due to migration of people and hence automation of farming can be used to get divest of day-to-day farming hitches. To contribute an elucidation to these glitches, the steered rover for drilling, seed sowing, and detection of victual rift using Artificial Intelligent system. Recovery system has been offered to lessen the human exertion and to speed up the work, henceforth weakening the measure of equipment required for its usage without bargaining the nature of administration. Surveying the leaf using image processing the farmer can easily be notified about the deficiency in the crops through communication protocol. 
Keywords: Drilling, Seed Sowing, Nutrition Deficiency Detection, Retrieval System, Communication Protocol, Swarm Bots.
Scope of the Article:  Communications