Smart Irrigation System using Iot and Image Processing

this project is developed to monitor the farms using the concept of Internet of Things (IoT) and Image processing.
ORIGINAL POST
By V R Balaji
components
Hardware Components
W5100
X 1
details

Capturexd.PNG

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.

Capturexd.PNG

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.

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