Automated Online Leaf Disease Detection System for Agriculture Government Department
In this project we are going to design a system in which people all around the world can know about the disease of leaves. This system will predict the disease of leaves by taking image of the leaf and then this system will predict about the disease. This system will be easier to use as it will be m
Project Title
Automated Online Leaf Disease Detection System for Agriculture Government Department
Project Area of Specialization
Project Summary
| In this project we are going to design a system in which people all around the world can know about the disease of leaves. This system will predict the disease of leaves by taking image of the leaf and then this system will predict about the disease. This system will be easier to use as it will be more user friendly. Users will be able to search through their android smartphone. |
In this project we are going to design a system in which people all around the world can know about the disease of leaves. This system will predict the disease of leaves by taking image of the leaf and then this system will predict about the disease. This system will be easier to use as it will be more user friendly. Users will be able to search through their android smartphone.
Project Objectives
| This project will take an image as input and then it will process the image and after processing it will predict the disease. We are going to make a system in which first we will create a model and then train the model providing it a necessary data set. Then we will test the system and after successful testing we will implement it through android app. |
This project will take an image as input and then it will process the image and after processing it will predict the disease. We are going to make a system in which first we will create a model and then train the model providing it a necessary data set. Then we will test the system and after successful testing we will implement it through android app.
Project Implementation Method
In the proposed project, we are going to use Kmeans Algorithm for image segmentation of the input image and then we are going to extract feature of image using GLCM and at last we are going to train and build our model. Classification will be done using Quadratic Discriminant Analysis.
Benefits of the Project
This projects biggest advantage is that people all around the world would be able to use the application. Farmers for example, In Pakistan farmers are mostly illiterate, can easily use this application. In this project, we will use text to speech technology which will guide them about disease and its remedy.
Technical Details of Final Deliverable
Our final deliverable will consist of an android application, which will ask about the name of plant and then it will take an input image and process it. The output will be about the detected disease and its cure. Our application result should have accuracy of about 75%.
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| This project will take an image as input and then it will process the image and after processing it will predict the disease. We are going to make a system in which first we will create a model and then train the model providing it a necessary data set. Then we will test the system and after successful testing we will implement it through android app. |
If you need this project, please contact me on contact@adikhanofficial.com
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