Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/13444
Title: | Leaf Disease Identification System (Android-Based) |
Authors: | Abdur Rehman |
Keywords: | Computer Sciences |
Issue Date: | 2018 |
Publisher: | Quaid-i-Azam University Islamabad |
Abstract: | The basic idea of this report is to translate the mechanism of diagnosing the specific diseases of wheat plants (Leaf Rust, Stripe Rust) into a software application, that enables users to diagnose various diseases and collection of data at a single site and develop disease resistant varieties. The traditional process of collecting data by visiting the fields in the whole country is not suitable. The project begins by studying and understanding the process of diagnosing diseases in the real-life scenarios, so that a system could be built that fulfills user needs. This project is based on image-processing and uses Android-Studio as the main tool for development purpose. The idea is to take image with the help of mobile phone. The system will do three things i.e. 1) Process the image of leaf on the mobile for detecting any disease area with level of disease severity.2) Compute leaf size and 3) Send the image and results to the server |
URI: | http://hdl.handle.net/123456789/13444 |
Appears in Collections: | BS |
Files in This Item:
File | Description | Size | Format | |
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COM 2296.pdf | COM 2296 | 1.76 MB | Adobe PDF | View/Open |
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