This document proposes an IoT-based smart agriculture and automatic irrigation system. It uses sensors like soil moisture, temperature, and humidity sensors connected to a NodeMCU microcontroller to monitor field conditions. If the soil moisture is low, a water pump connected to a motor driver will be switched on automatically to irrigate the field. The sensor data is sent to a cloud-based IoT platform called ThingsBoard for visualization and analysis. This system allows farmers to remotely monitor their fields and automate irrigation, reducing labor needs while optimizing water usage and improving crop yields.

1. Presented to–Dr.S Sugumaran sir
IOT BASED SMART AGRICULTURE
AND AUTOMATIC IRRIGATION
SYSTEM

2. INTRODUCTION
 In India about 52% Indians depends on agriculture
 In this busy days monitoring agricultural fields
continuously is an hectic task.
 In order to overcome this problem IOT based Smart
Agriculture And Automated Irrigation system is employed
 Our device is aim to provide up to date information
about field.
 The farmers can monitor and control the various
operations in field using our application

3. Block diagram

4. HARDWARE REQUIRED
 Nodemcu
 DHT-11(temp+humidity)
 Soil moisture
 Water motor
 Motor driving module
SOFTWARE REQUIRED
• Arduino IDE
• THINGS BOARD

5. Moisture sensor
A device which is used to sense the
moisture level in the sand is called soil
moisture sensor
This sensor reminds the user to water
their plants and also monitors the
moisture content of soil.

6. Water Pump
 Motor drive use to the rotation directions
of motors are controlled by Motor Control
Pin.
 The IN1 and IN2 are controlling Motor 1
while IN3 and IN4 are controlling Motor 2.
Beside motor rotate direction, this Motor
Driver Module is able to control motors'
speed as well by Motor PWM Control Pin.
 Water Pump motor is used to supply
water to field.

7. DHT-11
DHT-11 is used to monitor temperature
and humidity of the atmosphere.
It uses a capacitive humidity sensor and a
thermistor to measure the surrounding
air and split out a digital signal on the
data pin
The DHT-11 calculate relative humidity
by measuring the electrical resistance
between two electrodes.
NODEMCU
The NODEMCU (ESP8266) is a microcontroller
with an inbuilt Wi-Fi module.
The total pins on this device are 30 out of which
17 are GPIO (General Purpose Input/Output) pins
which are connected to various sensors to
receive data from the sensors and send output
data to the connected devices.

8. Arduino IDE
 The Arduino Integrated Development Environment (IDE) is a cross-platform
application in which the functions are written in emmbed C languages.
 It is used to write and dump the written programs to Arduino compatible
boards
THINGS BOARD
 Thingsboard is an IOT analytics platform which is used to aggregate, visualize,
and analyse live data streams in the cloud.
 When the data is sent to Thingsboard from the devices, it creates instant
visualization of live data.

9. WORKING
 The
 The soil moisture sensor is used to test the soil for all climatic conditions
and results are interpreted
 The moisture output readings at different weather conditions is taken and
updated. Wi-Fi is used to achieve the wireless transmission.
 Based on value sensed by moisture sensor the water pump is turned ON and
is turned OFF automatically.
 The temperature and humidity values of the field are taken continuously
and sent warnings to the farmer based on the output readings of
temperature and humidity sensors
 The values taken by sensors will be uploaded to the ThingsBoard. Farmers
visualize the data and act according to the warnings.

10. ADVANTAGES
 It is to easy to maintain and cost is reasonable to purchase
 It is reliable and portable.
 Farmers no need to travel to fields many times.
 Farmers are able to observe the status of fields and control the operations
using smartphones.
 This system is also used to irrigate small lands.
 This system helps to produce good quality of crops and improves economic
condition.
 This system optimize water use

11. CONCLUSION
IOT will help to enhance smart farming. Using IOT the system can
predict the soil moisture level and humidity so that the irrigation
system can be monitored and controlled . IOT works in different
domains of farming to improve time efficiency, water management,
crop monitoring, soil management and control of insecticides and
pesticides. This system also minimizes human efforts, simplifies
techniques of farming and helps to gain smart farming. Besides the
advantages provided by this system, smart farming can also help to
grow the market for farmer with single touch and minimum effort.

12. THANK YOU!
Presented by :
T. BALA SRAVANI
T. DEEKSITH RANGA BABU
SK . JAMEER BASHA
S. LAKSHMI MANIKANTA