InFEvoS: Integrated Farming Evolution System
Tajinder Singh Sondhi1, Awari Renuka Sambhaji2, Sharmila Banu K3
1Tajinder Singh Sondhi, SCOPE, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
2Awari Renuka Sambhaji, SCOPE, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
3Sharmila Banu K, SCOPE, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 08 April 2019 | Manuscript Published on 18 April 2019 | PP: 932-936 | Volume-7 Issue-6S March 2019 | Retrieval Number: F03900376S19/2019©BEIESP
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© 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: In this work, we intend to propose a monitoring and expert support system, called InFEvoS (short for, Integrated Farming Evolution System), for increasing agricultural productivity by boosting resource utilization and assisting the backward section of farmers, with knowledge on better farming techniques. Our system accounts for different crop, soil, climate types, etc. and is scalable and sustainable, which was a big challenge. InFEvoS overcomes most of the drawbacks current systems encounter, especially scalability, and versatility.
Keywords: Agriculture, Precision Farming, Rural Development, Internet of Things, Expert System.
Scope of the Article: Software Maintenance and Evolution