Machine Vision Based Autonomous Green Agri Bot
Gopireddy Sirisha1, Parmar Harshdeepsinh2, Konduri Subrahmanya Hemanth3, Sathiya Narayanan4
1Gopireddy Sirisha, Department of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India.
2Parmar Harshdeepsinh, Department of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India.
3Konduri Subrahmanya Hemanth, Department of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India.
4Sathiya Narayanan, Department of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 16 December 2019 | Revised Manuscript received on 23 December 2019 | Manuscript Published on 31 December 2019 | PP: 296-299 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10561291S319/19©BEIESP | DOI: 10.35940/ijeat.A1056.1291S319
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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: Automated agriculture bot offers effective solutions to modern agriculture. This paper explains the proposed multi-purpose automatic bot using machine vison-based navigation system powered by sun tracking solar panel with battery charger system with an overview on newly combined methodologies for the efficient improvement in production as well as in multiple agricultural operations like levelling, seed distribution and spraying, with effective power management system. This proposed idea will make the process sustainable and eco-friendly.
Keywords: Agricultural Bot, Row Guidance System, Solar Power, Battery-management, Maximum Power Point Tracking, Internet of Things.
Scope of the Article: Machine Learning