Idea - FICS

SMART IRRIGATION

Team and Contact Details

Student Name School Degree Year Email
Mohammed Saad KhanFaculty of Computer Science and EngineeringUndergraduateFourth[email protected]
Malik MunibFaculty of Electrical EngineeringUndergraduateFourth[email protected]
Husnain AliFaculty of Computer Science and EngineeringUndergraduateFourth[email protected]

Inter School Idea ? Yes
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: SMART IRRIGATION
Slogan: SMART IRRIGATION SYSTEM AND WATER RESOURCE MANAGEMENT USING AI AND IOT
Supervisor Name: Dr .Farhan Khan
Supervisor Designation: Assistant Professor
Supervisor School: Other
Supervisor Department: Faculty of Computer Science and Enginering
Contact number: +92 315 9937088
Email ID: [email protected]
Abstract:
    The project extensively uses sensors interfaced with the microcontrollers to collect real time data and the program decides how the actuators work. The project is Internet of Things and Machine Learning enabled. The Machine Learning will determine the soil moisture requirement and Rain chances will also be predicted in this project and used in the microcontroller’s decision to run the actuators.
What is the unmet need in society that your idea will fulfill ?
    The excessive use of current fertilizers inhibits the growth of the crops/plants whereas if the irrigation is controlled. There will be less requirement of external fertilizer usage. Which causes both soil and water pollution. This will help in reducing fertilizer and energy consumption.
Who needs it ? How many would benefit ?
   From small gardeners to large scale farmers and companies can use this to increase their production by utilizing little labor and make them efficient. As this project can make use of the actual fertility of the soil and preserve it to reduce artificial fertilizer usage.
How will the solution works
    The microcontroller will take real time sensor data and act as the input for trained machine learning model for finding soil moisture requirement and rain chances. The data will also be uploaded on the cloud to form dataset for future use. The actuators will work on the comparison of the real time sensor data with the requirements.
Who are your competitors ? How is your solution different
    We have some international competitors which are in term of cost and locally there is no prototype available yet which has an integrated weather station and controlled irrigation making use of proportionally controlled valves. We are different than other local ones as this will be deployed on field.
Status: new
Entry Date & Time: 2022-12-15 (1553)