Android Agriculture-Seed Experiment using Image Processing Test phase, srs, design phase and source code final deliverable
Project Domain / Category
Mobile App, Web Programming
Abstract / Introduction
Seed testing is the foundation of all other seed technologies. Seed testing is used for control of quality parameters during seed handling, and test results are submitted to customers as documentation on seed quality. It is meant by which the quality of seed can be measured, and property of seed is ensured. Seed testing is determining the standards of a seed by giving the identification namely physical purity, moisture, germination, vigor and thereby enabling the farming community to get quality seeds. This is an interesting android project. This application will help the farmers to detect if the seeds they are using defected or not defected. This application will detect the type of seeds and give every information about it to the users. This application itself will test the seed using Image processing.
Functional Requirements:
- Input Image
Take an input seed image from seed lot by using digital camera
- Image Enhancement
Image enhancement is the process of adjusting digital images so that the results are more suitable for display or further image analysis. For example, you can remove noise, sharpen, or brighten an image, making it easier to identify key features.
- RGB to Gray Conversion
Convert image as gray image.
- Gray to Binary conversion Sharp filtering
The gray image must be sharpened for a good vision.
- Boundary Removal
- Classification of Seed
The farmer is supposed to login, and their data will be stored. They simply need to take a picture of the seed through the app, and it will show the result. The recent search history would be stored in the database using SQLite
Tools:
- Android Studio is required. (preferably)
- Any tool for Web-server development (.Net/PHP etc.)
Make sure that you already have or can arrange a PC/Laptop with desired system requirements for Android development before enrolling for this project.
Supervisor:
Name: Asma Batool
