Solar Powered Automated Irrigation System with Plant Health Indication Using IoT
P. Ramya1, T. R. Annapoorneswari2, G. V. Bindu3, N. V. Meghana4, U. Roshni5
1P. Ramya, Assistant Professor, Department of Electrical and Electronic, Sri Venkateshwara College of Engineering, Bangalore (Karnataka), India.
2T. R. Annapoorneswari, Department of Electrical and Electronic Engineering, Sri Venkateshwara College of Engineering, Bangalore (Karnataka), India.
3G. V. Bindu, Department of Electrical and Electronic Engineering, Sri Venkateshwara College of Engineering, Bangalore (Karnataka), India.
4N. V. Meghana, Department of Electrical and Electronic Engineering, Sri Venkateshwara College of Engineering, Bangalore (Karnataka), India.
5U. Roshni, Department of Electrical and Electronic Engineering, Sri Venkateshwara College of Engineering, Bangalore (Karnataka), India.
Manuscript received on 10 October 2019 | Revised Manuscript received on 19 October 2019 | Manuscript Published on 02 November 2019 | PP: 60-64 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B10110982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1011.0982S1119
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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: Horticulture is a field where robots are not given a significant importance. Since we are mainly concentrating on medicinal plant they require high care. In this field, the demand for robots and automated systems are increasing hence in the course of this paper we made an attempt to scale down human labor by creating an automation which is able to indicate plant health. The aim of this paper is creating a farming automation which is able to indicate the plant health by observing color of their leaves and to provide the automated irrigation system. The automation will note encompassing environmental conditions like temperature, soil moisture and pH it will be displayed in order that automation can decide health of the plant particular pesticides will be sprayed and the entire project is powered by solar using MPPT.
Keywords: Solar Energy, Automated Irrigation System, Image Processing, Arduino, Medicinal Plants, Maximum Power Point Tracking (MPPT).
Scope of the Article: IoT