Purity of Seed using Deep Learning
The automated image processing detects seeds in images and assigns them to species or cultivars. Using state-of-the-art machine learning algorithms, the systems can be trained to any seed type, thus allowing to discriminate and classify individual phenotypic features in homogenous seed batches. The
2025-06-28 16:28:53 - Adil Khan
Purity of Seed using Deep Learning
Project Area of Specialization Artificial IntelligenceProject SummaryThe automated image processing detects seeds in images and assigns them to species or cultivars. Using state-of-the-art machine learning algorithms, the systems can be trained to any seed type, thus allowing to discriminate and classify individual phenotypic features in homogenous seed batches. The tools allow to discriminate between cultivars of one species, differentiate between species of one genus, or identify contaminations through weed or foreign seed.
Project Objectives- It can be an IT solution for farmers and Agriculturists.
- This application will help those people to be aware from scam while purchasing any seed.
- We will use Urdu language as well as some other and some also cannot read Urdu language so we can use pictures and easy icons for them to understand.
| Spiral Model is selected as SDLC model for this project to make the Development more systematic and more efficient. We use Spiral model Because it allows changes during the development. It is efficient and reliable and good for this project.
|
Spiral Model is selected as SDLC model for this project to make the
Development more systematic and more efficient. We use Spiral model
Because it allows changes during the development. It is efficient and reliable and good for this project.
- Development is fast and features are added in a systematic way in Spiral development.
- There is always a space for user’s feedback.
- Additional functionality or changes can be done at a later stage.
| Tools And Technologies | Tools | Rational |
| Flutter | Framework | |
| Firebase | DBMS | |
| Adobe | Designing | |
| MSWord | Documentation | |
| Technology | Rational | |
| Dart | Programming Language | |
| SQL | Query Language |
Tools
And
Technologies
Flutter
Firebase
Adobe
MSWord
Technology
Dart
SQL
Benefits of the ProjectThe scope of the application in the initial basis will be limited to Farmers and agriculturists. Which can be increased by the passage of time. By The passage of time, we can also register Companies. but at this time these categories were not a part of our project. The main functionalities are that; the system must work properly.
Technical Details of Final DeliverableThe final product we will develop application android based they can only access authorized users.
This system to facilitate farmers to more easy way to check the Seed.
Final Deliverable of the Project Software SystemCore Industry AgricultureOther Industries IT , Health Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Tools And Technologies | Tools | Rational |
| Flutter | Framework | |
| Firebase | DBMS | |
| Adobe | Designing | |
| MSWord | Documentation | |
| Technology | Rational | |
| Dart | Programming Language | |
| SQL | Query Language |