Description: Field of Invention
The current invention generally applies to an agricultural irrigation system to a self-monitoring and self-controlling agricultural irrigation system with numerous sensor-enabled control units.
The Objectives of this Invention
The invention's major goal is to describe a concept for a gas leakage detection method which can recognize, warn, and manage the gas leakage as well as consumption efficiently. This system contains characteristics such as rapid gas leak detection and an alerting system for the user.
Background of the Invention
Agriculture is backbone of our nation. In early days, everyone completing the works manually. By growing of technologies from all over the globe, everyone trying to complete the difficult task by smartest ways. First, type of technique has been introduced in KR. Pat. No. (KR2018/102003510B1), here smart irrigation system that includes at least one smart valve connected to a predetermined water source and supplying water to a predetermined area, a centralised power machine for remote execution of the smart valve, a network device for transmitting messages between the centralised power device and the smart valve, and a self-generating flow meter for generating electric power by the smart valve.
Another type of invention is proposed in (US2010/9414552B2), irrigation schedule is converted by the processor into a series of control signals that the irrigation controller understands. The signal interface is set up to connect to the irrigation controller and send the irrigation controllers a series of control system. The technology automatically changes the best automated irrigation system based on weather data and irrigation site-specific information. Another method was proposed in (WO2020/232963A1), here, they have discussed the smart facility agriculture and smart field farmland agriculture, also presents many automatic and smart irrigation methods and technologies. The (US2020/0305366A1), smart watering system with self-monitoring and self-control is proposed. A plurality of tower control units, each of which includes one or more processors, one or more memory units, and communication circuitry, may be used in the smart irrigation system.
The (Younas et al [2020], E3S Web of Conferences 173, 01006), proposed LPG gas detection and notification system that depends on a microcontroller. It also explains the creation of a self-directed Smartphone mobile device for gas leak monitoring that may be deployed in a variety of locations. The sensor-based leakage detection system was introduced by (Khan [2020], Eng. Proc. 2020, pp. 1-6).
Summary of the Invention
A smart irrigation system for an irrigation controller associated with an irrigation site is described here. A centralized power system with a user interface and a smart scheduler are included in the smart irrigation system. A user provides environmental information via the user interface. In addition, the central control system is set up to receive atmospheric data related to the irrigated agriculture facility.

Detailed Description of the Invention
In daily operations related to farming or gardening watering are the most important cultural practice and the most labor-intensive task. In order to replace manual activities and making gardener's work easier, the project builds an IoT device that can initiate the watering of the plant system automatically whenever the moisture content in the pot drops below a threshold value, which will help the plants to grow easily and reach to its full growth as well as conserve water.
In this invention, we use a soil moisture sensor that detects the amount of moisture present in the soil and depending upon the requirement of level of moisture content required for the crop the water flow is regulated thus, conserving the water by avoiding over flooding of crops. The sensor is placed in the field where the crop is being cultivated. The sensor converts the moisture content in the soil into equivalent voltage. This is given to a sensing circuit which has a reference voltage that can be adjusted by the user for setting different moisture levels for different crops. The amount of water needed for soil is proportional to the difference of these two voltages. A control signal was given to a stepper motor whose rotational angle is proportional to the difference in voltage. The stepper motor in turns controls the cross sectional area of the valve to be opened controlling flow of water. Therefore the amount of water flowing is proportional to the moisture difference. In this invention, Moisture sensor checks moisture level of the soil continuously and updates the information on the website. The motor automatically turns ON/OFF with data obtained through the soil moisture sensor. If the moisture content of the soil reaches danger level, automatically motor will be turned off. If the moisture content of the soil is low, automatically motor will be turned on.
A monitoring system gathers data by the sensors to computer by WIFI module and display the data in the form graph formats. The focus is about the moisture of the soil. Also other fields like humidity and temperature. All the parameter values are uploaded to the cloud (website) using Arduino at a regular interval of times. After connecting the sensors with NodeMCU, the data starts transferring from NodeMCU. Once the path is set up and an API call is written, the connection is ready to send the data. Now, a channel is created in the cloud. Data is stored in so-called channels, which provides the user with a list of features. Each channel allows you to store up to 8 fields of data, using up to 255 alphanumeric characters each. There are also 4 dedicated fields for positional data, consisting of: Description, Latitude, Longitude, and Elevation. All incoming data is time and date stamped and receives a sequential ID. Once a channel has been created, data can be published by accessing the ThingSpeak API with a ‘write key’, a randomly created unique alphanumeric string used for authentication. Consequently, a ‘read key’ is used to access channel data in case it is set to keep its data private (the default setting). Channels can also be made public in which case no read key is required. According to the ThingSpeak website, the API works are noted. Essentially, ‘things’ are objects that are given sensors to collect data. Data is sent and received via simple “Hypertext Transfer Protocol” (HTTP) POSTs, much like going to a web page and filling out a form. This communication happens through plaintext, JSON or XML. The data is then uploaded to the cloud and from there can be used for a variety of purposes.
5 Claims & 1 Figure

Brief description of Drawing
In the figure which are illustrate exemplary embodiments of the invention.
Figure 1, the Process of Smart Irrigation System , Claims: The scope of the invention is defined by the following claims:

Claim:
1. A system/method for smart irrigation monitoring and controlling using IoT on , said system/method comprising the steps of:
a) The system has the Arduino Uno microcontroller (1) to process and manage all the controls from soil moisture sensor (2). The Arduino microcontroller gets input status meter soil moisture sensor (2).
b) After that, system checks the threshold value (3), if it’s less than threshold value (4), then alert message sends to owner mobile device, from that they can control the application (5).
c) If owner is not responding, then automatically pump will start (6).
d) If the threshold values is greater than (7), then the system sends power off commands to motor. If it’s rain (8), again the control goes to motor off (9).
2. As mentioned in claim 1, the microcontroller receives the environment status soil moisture sensor.
3. According to claim 1, If the threshold value is less than means that, the system sends alert message to owner mobile. If owner is not responding that alert message, then automatically motor will turn on.
4. According to claim 1, if the threshold value is greater than, then system will turn off the motor.
5. As per claim 1, if rain occurs, the system will turn off the motor.