International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3733
Smart Irrigation System And Crop Prediction
Akshay Narwade
1
, Sumit Nayak
2
, Ankita Potdar
3
, Rajkumar Yadav
4
,Karuna Borhade
1,2,3,4UG Scholar, Computer Engineering Department, Shah and Anchor Kutchhi Engineering College, Mumbai,
Mumbai University, Maharashtra, India
5Assistant Professor, Computer Engineering Department, Shah and Anchor Kutchhi Engineering College, Mumbai,
Mumbai University, Maharashtra, India
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Abstract - Agriculture plays the major role in economics
and survival of people in India. Water has been needed in each
and every field. The purpose of this project is to provide
embedded based system for soil monitoring and irrigation,, not
only to reduce the manual monitoring of the field but also to
help save water. The soil is monitored using hygrometer that
is soil moisture sensor and ambient condition near soil is
observed using DHT11 temperature and humidity sensor.
Obtained sensor values are passed to cloud via NodeMCU,
which includes firmware based on ESP8266 Wi-Fi SOC. Based
on the comparison with predefined values, appropriate crop
suitable for the soil is determined and informed to the farmer
via android mobile application. The farmer can cultivate the
suggested crop to ensure increase in production.
1.INTRODUCTION
India’s major source of income is from agriculture sector and
70% of farmers and general people depend on the
agriculture. In Indian irrigation system the famers choose
mostly manual methods such as drip, terraced, ditch
irrigation system. In order to improve to the crop
productivity there is an urgent need to change manual
method to automation. Also consider the water availability
throughout India it is one of the valuable resources to
protect and save for future needs. Embedded based
automatic irrigation system is suitable for farmers which is
available at low cost and easy to install. This system should
help farmer to provide the water to crop at stringent time
and quantity. Automation irrigation system observes the
moisture sensors and temperature variations around the
crop area that’s gives a precise time to turn the motor ON
and OFF. So Automation avoids human errors and check soil
moisture level.
The Internet of things (IoT) is the extension
of Internet connectivity into physical devices and everyday
objects. Embedded with electronics, Internet connectivity,
and other forms of hardware (such as sensors), these devices
can communicate and interact with others over the Internet,
and they can be remotely monitored and controlled. .
[1][2][3][4]
It is a system of interrelated computing devices, mechanical
and digital machines, objects, animals or people that are
provided with unique identifiers ( UIDs ) and the ability to
transfer data over a network without requiring human-to-
human or human-to-computer interaction.
1.1 Objectives
The main objective of Smart Irrigation System and Crop
Prediction is:
Minimize cost and time of manual monitoring.
Optimize the irrigation water use.
Enable growers to take adequate irrigation
actions based upon water availability and crop
needs, which will minimize water usage and
pumping energy.
Suggest the crops most suitable in accordance
with the surroundings:
1.2 Problem Statement
In the case of traditional irrigation system water saving is
not considered. Since, the water is irrigated directly in the
land, plants under go high stress from variation in soil
moisture, therefore plant appearance is reduced. The
absence of automatic controlling of the system result in
improper water control system. The major reason for these
limitations is the growth of population which is
increasing at a faster rate. At present there is emerging
global water crisis were managing security of water has
become a serious job. This growth can be seen in countries
which have shortage of water resources and are
economically poor, Thus a serious problem in agricultural
area. So we want to Design a Smart Irrigation support
system that operate automatically by sensing moisture
content of the soil and sending the values to a data store
comparing it and returning appropriate information to the
farmers using app.
2. HARDWARE PLATFORM USED
1. Soil Moisture: Precision soil moisture has chosen
shown in which consists two probes that are inserted
in to soil. When the current pass through the probes,
the soil contains low moisture offer a less resistance
and passes high current. That is variable resistance is
the parameter to identify the level of soil moisture