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

Project Title

Purity of Seed using Deep Learning

Project Area of Specialization Artificial IntelligenceProject Summary

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 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 Project Implementation Method

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

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.

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 Project

The 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 Deliverable

The 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

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