Smart Irrigation System using IoT and Image Processing
V R Balaji
V R Balaji, Assistant Professor, Department of EEE, Kumaraguru College of Technology Coimbatore (Tamil Nadu), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 115-120 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10240886S19/19©BEIESP | DOI: 10.35940/ijeat.F1024.0886S19
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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: Today the farmers are finding difficulty in monitoring the field about moisture content and temperature of the field. Hence, this project is developed to monitor the farms using the concept of Internet of Things (IoT) and Image processing. The solar panel is used in our project to utilize the renewable energy which acts as an uninterruptable power sources. The Battery is used to store the energy from the Solar panel via Charge Controller (MPPT). The Soil moisture sensor and the Humidity sensors are used to monitor the moisture content of the soil and also the temperature and humidity of the surroundings. The DC Pump can be controlled automatically (switched ON/OFF) by the Arduino, Ethernet shield and Relay, based on the soil moisture and the temperature level. These data’s and the condition of the DC Pump are send to the BLYNK ANDROID App to monitor the farms and lands by simply login to our account, and the condition of the DC Pump is also notified to the user Email with the help of internet connections by using Arduino and Ethernet shield. In image processing technique the health condition of the crop is intimated to the user with the help of Raspberry pi and webcam. The Raspberry pi captures the images of the crops and checks the images of the crops to detect its health condition whether it is infected or in Healthy condition. And the condition of the crops is intimated to the user by sending its images and health condition of the crops by E-mail notifications. This can be monitored from any part of the world.
Keywords: MPPT (Maximum Power Point Tracking), IoT (Internet of Things), DC (Direct Current).
Scope of the Article: Image Analysis and Processing