IOT BASED SMART IRRIGATION MONITORING SYSTEM

Abstract

The internet of things (IOT) describes the network of physical objects that are embedded with
sensors, software, and other technologies for the purpose of connecting data with other devices and
systems over the internet. Agriculture is the one of the most dominant sectors that nothing can
match its importance and the work of it. We here implemented our thoughts and worked on Modern
Agriculture technology which is an IOT based agriculture monitoring system. Compared to the
previous results, here LDR module along with fuzzy logic are used as it helps in using the parameter
of light, In this project the intelligence of the proposed system is based on a smart algorithm, which
considers sensed data along with the parameters like air, temperature, humidity, moisture. The
complete system where the sensor node data is wirelessly collected over the cloud using web-
services and a web-based information visualization and decision support system provides the real-
time information insights based on the analysis of sensors data and weather forecast data, if the
sensed value goes beyond the threshold values set in the program, the water pump will be
automatically switched on/off .We will provide basic Software Prototype and Hardware Model for
data visualization. Conventional farming is labor-consuming and the need to continuously monitor
crops can be a burden for farmers. By realizing the concept of smart farming based on Internet of
Things (IoT) technology, farmers can use a mobile application to observe and monitor air humidity,
air temperature, and soil moisture – factors that can affect plant growth. Furthermore, the use of
timers to control the pumps in conventional watering systems is not always practical in real-life
cases. This paper proposes a framework that enables advanced fuzzy logic to control a pump’s
switching time according to user-defined variables, whereby sensors are the main aspect of and
contributor to the system. Our proposed idea offers great potential for excellent performance as an
interface between the sensors as the input and the IoT as the output medium. A comparison is made
between the proposed system and manual handling. The results prove that the water consumption
and watering time has been reduced significantly.