Intelligent IOT Based Automated Irrigation System

Project Title

Intelligent IOT Based Automated Irrigation System

Project Area of Specialization Artificial IntelligenceProject Summary

• In our project, which is based on sensors network,  microcontroller and AI machine learning throughout the condition of irrigation can be done automatically with the help of Mobile app.

•The sensors send the data to microcontroller for processing .

•Microcontroller store data in SD card (for storage) and send to online data base using GSM/GPRS to module.

•System will analyze data using machine learning (AI) program to deduce that crops need water and convey that information to customer.

The condition of the crops is intimated to the user via Mobile app easily without human intervention.

Project Objectives

1.To design the sensor network for irrigation system.

2.To design the online data base for the sensor data.

3. To design IOT system to transmit the sensor  data to data base.

4.To design Android app/Web page to receive the sensor data.

5.To design AI and machine language system to analyze the data.

Project Implementation Method

The two 100 watts solar panel is used to generate electricity and those panels are connected in parallel because whole system operates on 12V.  The Battery is used to store the energy from the solar panel. It acts as a power source for the whole circuit. The function of the charge controller is used charge the battery in case of low battery and it disconnects the solar panel from battery if it is fully charged. The charging current should not exceed the rated charging current of the battery. If it exceeds the limit the life time of the battery be reduced. The specifications of the charge controller is. VOLTAGE: 12V.  The Soil moisture sensor, Humidity sensor and all other sensors are implemented to sense various field parameters.  The Arduino mega is controller used for receiving the sensor values from the field. By installing the library files and upload them in Arduino. This data is then send to the mobile app throughout the user able to know the condition of the crops.

Benefits of the Project

        To design a sensor network  for irrigation system using sensors, AI (machine learning program) to reduce the water consumption in the crops.

       To design a project for disease identify in crops

Technical Details of Final Deliverable

• In our project, which is based on sensors network,  microcontroller and AI machine learning throughout the condition of irrigation can be done automatically with the help of Mobile app.

•The sensors send the data to microcontroller for processing .

•Microcontroller store data in SD card (for storage) and send to online data base using GSM/GPRS to module.

•System will analyze data using machine learning (AI) program to deduce that crops need water and convey that information to customer.

•The condition of the crops is intimated to the user via Mobile app easily without human intervention.

Final Deliverable of the Project Hardware SystemCore Industry AgricultureOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Quality EducationRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	40079
Thermistor	Equipment	5	20	100
Soil Moisture Sensor	Equipment	2	300	600
Hygrometer	Equipment	2	2500	5000
Anemometer	Equipment	1	3499	3499
Wind Direction Sensor	Equipment	1	7000	7000
IOT Microcontroller	Equipment	2	1240	2480
Solar Panels	Equipment	2	5100	10200
Batteries	Miscellaneous	2	2500	5000
Charge Controller	Miscellaneous	1	900	900
GSM Module	Equipment	1	500	500
Camera	Equipment	4	1200	4800