Abstract: The farmers working in the farm lands ore solely dependent on the rains and bore wells for irrigation of the land. Even if the farm land has a water-pump, manual intervention by farmers is required to turn the pump on/off whenever needed. Promoting applications of modern information technology in agriculture will solve the irrigational issues faced by farmers. This project is designed to overcome the water scarcity issues faced by the farmers in irrigation and to minimize the manual intervention by the farmer. It provides an intelligent system created using Tl CC3200 Launchpad based on lot which obtains the parameters such as temperature, humidity and moisture by using sensors and the microcontroller sends these data to the cloud by using the"onboard Wifi. The farmer can easily view, analyze the data and switch the motor On/Off from anyplace across the world just by using the internet. The motor is automatically controlled by using a fuzzy set created by using the temperature, humidity and moisture values. In order to prevent the tampering of the device, a PIR motion sensor module is used . It is important to notice that this system has the potential to save a significant amount of water and provide ease of control, making it a very economical irrigation control option compared to conventional systems
BACKGROUND OF THE INVENTION
FIELD OF INVENTION
The invention relate to a mechanism employed for automation of irrigation using fuzzy logic and loT.
BACKGROUND OF THE PRESENT INVENTION
Agriculture is a source of livelihood of majority pf people and has great impact on the economy of the country. Efficient water management is a major concern for many cropping systems In dry areas or in case of inadequate rainfall irrigation becomes difficult. So, it needs to be automated for proper yield and safe of water. This multi-sensor system will continuously monitor the relevant environmental parameters, hydrological parameters, soil parameters and crop specific parameters to derive the context. These derived contexts will be used for automatic control and adaptation of the irrigation system. This system uses the real-time sensor data to minimize the wastage of water used in the irrigation process. Applying the internet of things to the highly effective and safe agricultural production has a significant impact on ensuring the efficient use of water resources as well as ensuring the efficiency and stability of the agricultural production. The temperature, humidity and moisture values are obtained from the respective sensors. Motion is detected by using PIR sensor in order to prevent the tampering of device on the field. By using the obtained values, the motor is controlled. The output variables are also loaded into a cloud called as Dweet . The values from the cloud is retrieved and displayed at the user device by using an Online Dashboard. The DHT11 sensor detects the temperature and humidity and sends it to the microcontroller. The soil moisture change is detected based on the water content on the soil and the PIR sensor detects the motion. The user can check the status of the field
anytime by using a smartphone in which all the parameters are displayed. This helps the user to easily analyze the field automatically by using the internet. The user can also switch ON/OFF the motor by using his smartphone or computer.
US 20100094472 Al disclose an soil moisture based irrigation system includes a stand alone irrigation controller with a seasonal adjust feature and a stand alone weather station including at least one soil moisture sensor. The soil moisture based irrigation system further includes a stand alone soil moisture control unit operatively connected to the irrigation controller and the soil moisture sensor. The soil moisture control unit includes programming configured to calculate an estimated soil moisture requirement value using a signal from the soil moisture sensor and to automatically modify a watering schedule of the irrigation controller through the seasonal adjust feature based on the estimated soil moisture requirement value to thereby conserve water while maintaining plant health.
US 8649907 B2 discloses a wireless system is provided for monitoring environmental soil, or climate conditions and controlling irrigation or climate control systems at an agricultural or landscape site. The wireless system includes a wireless sensor network including a plurality of sensor nodes for monitoring environmental, soil, or climate conditions and controlling one or more irrigation or climate control systems at the site. The wireless system also includes a server computer system located remotely from the site. The server computer system is coupled to the wireless sensor network over a communications network for receiving data from and controlling operation of the sensor nodes. The server computer system is also coupled to a device operated by an end-user over a communications network for transmitting the data to and receiving remote control commands or queries from the end-user
US 20120303168 A1 discloses A smart irrigation system for an irrigation controller associated with an irrigation site is described herein. The smart irrigation system comprises a central control system having a user interface and a smart scheduler. The central control system is configured to derive and send an irrigation schedule for the irrigation site. The smart scheduler comprises a data receiver, a processor, and a signal interface. The data receiver is configured to receive the irrigation schedule. The processor is configured to convert the irrigation schedule to a series of control signals that the irrigation controller recognizes. The signal interface is configured to connect to the irrigation controller and to send the series of control signals to the irrigation controller. The system uses weather data and irrigation site-specific information to automatically apply the optimal irrigation schedule. Users are able to remotely control the irrigation via networks such as Internet.
SUMMARY OF THE INVENTION
The device is designed using a CC3200 launchpad. It has an ARM Cortex- M4 at 80 Mhz and an inbuilt Wifi. It comprises of a DHT11 temperature and humidity sensor, YL-69 moisture sensor and a PIR sensor to detect the respective parameters from the applied environment. It also has a L293D motor driver to control the motor. A 12v Dc motor is used and it is controlled by using the obtained parameters from the sensor. The mechanism involves a combination of Fuzzy logic and loT which needs no manual intervention. It is also powered by a solar battery.
THE OVERALL ASSEMBLY WORKS AS FOLLOWS
This system uses a CC3200 launchpad which has an inbuilt WiFi which helps it to easily connect itself to the internet. The temperature, humidity and moisture values are obtained from the respective sensors(Fig 1,2). Motion is detected by using PIR sensor in order to prevent the tampering of device on
the field. By using the obtained values, the motor is controlled. The output variables are also loaded into a cloud called as Dweet. The values from the cloud is retrieved and displayed at the user device by using an Online Dashboard. The sensors are interfaced with the CC3200 launchpad along with the motor by using a L293D motor driver(Fig 9). The system automatically detects all the parameters like temperature, humidity, motion and moisture and sends it to the cloud by using the onboard WiFi. The values of these parameters can be visualized by the user in his smartphone or computer. A fuzzy level is also set so that the motor is controlled automatically without any manual operation. It makes use of a solar battery(Fig 2 ) to power the microcontroller. This helps in saving a lot of energy, water and it does not need any continuous monitoring. The user can also switch On/Off the motor by using his mobile or PC(FiglO).
Description of Diagrams and Results
The outputs are sent to a cloud named as Dweet.io from which it is retrieved at Freeboard.io an online dashboard on which the output is displayed on various forms. The outputs are obtained in the serial monitor. The output is also displayed in the cloud by using an online dashboard(Fig5,6,7,8). The data is sent to the cloud by using the onboard wifi in CC3200 launchpad. The following figure contains the block diagram of the designed module. It consists of the following hardware peripherals
CC3200 Tl Launchpad
Moisture Sensor
Temperature and Humidity Sensor
PIR Sensor
Dc motor
L293D driver The outputs (i.e) temperature, humidity, moisture and motion values are displayed on an online dashboard in form of gauges and it is shown in the below figureFIGURE 10 WEBSERVER TO CONTROL MOTOR
DESCRIPTION OF THE DISCLOSED EMBODIMENT
The device is designed using a CC3200 launchpad. It has an Arm cortex- M4 at 80 Mhz and an inbuilt Wifi. This launchpad requires a voltage of 3.3v which is less than many commonly used MCUs, thereby reducing the power consumption needed for irrigation. . It consists of a DHT11 temperature and humidity sensor, YL-69 moisture sensor and a PIR sensor. These sensors are used to detect the respective parameters from the applied environment. The system automatically detects all the parameters like temperature, humidity, motion and moisture and sends it to the cloud by using the onboard Wifi. The
| # | Name | Date |
|---|---|---|
| 1 | Form9_Earlier Publication_02-01-2017.pdf | 2017-01-02 |
| 2 | Form5_As Filed_02-01-2017.pdf | 2017-01-02 |
| 3 | Form3_As Filed_02-01-2017.pdf | 2017-01-02 |
| 4 | Form2 Title Page_Complete_02-01-2017.pdf | 2017-01-02 |
| 5 | Form1_As Filed_02-01-2017.pdf | 2017-01-02 |
| 6 | Form18_Normal Request_02-01-2017.pdf | 2017-01-02 |
| 7 | Description Complete_As Filed_02-01-2017.pdf | 2017-01-02 |
| 8 | Correspondence by Applicant_As Filed_02-01-2017.pdf | 2017-01-02 |
| 9 | Claimd_As Filed_02-01-2017.pdf | 2017-01-02 |
| 10 | Abstract_As Filed_02-01-2017.pdf | 2017-01-02 |
| 11 | 201741000127-Form-5_Fer Reply_05-08-2021.pdf | 2021-08-05 |
| 12 | 201741000127-Form-3_Fer Reply_05-08-2021.pdf | 2021-08-05 |
| 13 | 201741000127-Form-1_Fer Reply_05-08-2021.pdf | 2021-08-05 |
| 14 | 201741000127-Examination Report Reply Recieved-05-08-2021.pdf | 2021-08-05 |
| 15 | 201741000127-Drawing_Fer Reply_05-08-2021.pdf | 2021-08-05 |
| 16 | 201741000127-Copy of Form-18 And Marked Copy_05-08-2021.pdf | 2021-08-05 |
| 17 | 201741000127-Claims_Fer Reply_05-08-2021.pdf | 2021-08-05 |
| 18 | 201741000127-Amended Pages Of Specification_Fer Reply_05-08-2021.pdf | 2021-08-05 |
| 19 | 201741000127-Abstract_Fer Reply_05-08-2021.pdf | 2021-08-05 |
| 20 | 201741000127-FER.pdf | 2021-10-17 |
| 21 | 201741000127-US(14)-HearingNotice-(HearingDate-22-12-2023).pdf | 2023-11-23 |
| 22 | 201741000127-Written submissions and relevant documents [06-01-2024(online)].pdf | 2024-01-06 |
| 23 | 201741000127-FORM-26 [11-01-2024(online)].pdf | 2024-01-11 |
| 24 | 201741000127-PatentCertificate12-01-2024.pdf | 2024-01-12 |
| 25 | 201741000127-IntimationOfGrant12-01-2024.pdf | 2024-01-12 |
| 26 | 201741000127-Form 13-050124.pdf | 2024-01-12 |
| 27 | 201741000127-Correspondence-050124.pdf | 2024-01-12 |
| 1 | 2021-02-1012-12-00E_19-02-2021.pdf |