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Idea - FICS

Smart AgriBot

Team and Contact Details

Student Name School Degree Year Email
Muhammad Zaheer AkramElectrical EngineeringUndergraduateFourth[email protected]
Muhammad Behzad HassanElectrical EngineeringUndergraduateFourth[email protected]
Ahmad Hassan Electrical EngineeringUndergraduateFourth[email protected]
Zunaira AfzalBusiness administrationUndergraduateFourth[email protected]

Inter School Idea ? Yes
Do you need expertises from another area: Yes
If Yes please provide details of expertises you need: Agriculture

Idea Details

Idea Name: Smart AgriBot
Slogan: Human Assistance by Automation
Supervisor Name: Dr. Sami ud Din
Supervisor Designation: Assistant Professor
Supervisor School: SEECS
Supervisor Department: Electrical Engineering Department
Contact number: +923335468497
Email ID: [email protected]
Abstract:
    Pakistan is an agricultural country. Though labor costs and inflation rate are very high so we are proposing a system that will be helpful for farming purposes. Our aim is to implement advanced technology to achieve high success in production rate of the crops. Moreover, this project is easy to use, provides a cost-effective solution, requires less time and it will enhance the crop's efficiency.
What is the unmet need in society that your idea will fulfill ?
    Generally, farmers are used to sprinkle the seeds without any knowledge of seed health which affects production. Our System is an efficient approach for seed identification and sorting based on deep learning CNN model This will enhance the quality of crop production and also the labor cost.
Who needs it ? How many would benefit ?
   Pakistan has about 68% of people who are engaged in farming with the agricultural sector and uses conventional ways. This project will benefit the farmers and horticulturists who select seed for different reasons such as good taste, resistance to disease, yield capacity, nutritional value.
How will the solution works
    Design project work at Machine Learning Conventional Neural Network (CNN) model. Via image processing methodology on programed Raspberry Pi, defective seeds will be detected and classified by our system, while healthy seeds will be sowed through a controlled sowing system. Our System will segregate unhealthy seeds and then it will command the sowing system to sow only the remaining healthy seeds. In this way, growth and production will effectively improve
Who are your competitors ? How is your solution different
    Several developed countries are utilizing the modern technologies for automatic seed sorting. Uniqueness of our system is that it would be doing sorting on run time and then sowing. In Pakistan, this type of work hasn't been done ever so we'll be doing this innovation.
Status: new
Entry Date & Time: 2022-12-14 (1628)