Plants Disease detection using machine learning

Project Title

Plants Disease detection using machine learning

Project Area of Specialization Artificial IntelligenceProject Summary

Problem statement:

Plants disease detection is a huge problem for the farmers to identify what kind of disease has been affected the crops and what kind of pesticides have been attacking the plants there is have to be a solution for the farmers to find out the problem before the damage has been done 

Project Objectives

• AI based techniques to facilitate the farmers
• Provide the best way to find out what kind of disease and pesticides have been attacking the leaves
• Educate new farmers about disease detection
• Saving time

Project Implementation Method

Use Digital image processing and artificial intelligence techniques to alert the farmers about the disease

We have different parts to our projects.

We will use different AI algorithms in the backend in our application for the image classification like KNN ANN sklearn pandas numpy and more these algorithms are used in the backend working in our application

For the frontend we will use flutter framework we will design our application GUI in flutter using Dart programming language Name, algorithms, techniques and hardware which you’re going to use in implementation.

Benefits of the Project

We are going to make a platform for the farmers which is going to save their time and crops Plants disease detection is an essential research topic as it may prove beneficial in monitoring large fields of crops, and automatically detecting the symptoms of the disease as soon as they appear on plant leaves. It will help full for the farmers to detect the disease in the crops easily and save their crops from damage.

Tell with numbers/figures, by using our proposed method, how many plants could be saved.

With numbers, tell how much profit raise the formers will get.

With numbers, tell what will be impact on agriculture industry.

With numbers, tell what will be impact on overall economy.

Technical Details of Final Deliverable

Requirements	Analysis	Coding	Testing	Operation
Month 1 Month 2 Month 3	Month 4	Month 6	Month 7	Month 7
Research Model design and development Model evaluation	Model Verification	Design and code interface	Design and code system	System verification

Internal Deliverable:

Our application will impact the agriculture system of Pakistan through our application we can save the crops from damage and also money for the farmers can easily detect the crop’s disease with the help of our application they didn’t need  the pesticides experts to find out what kind of disease and what kind of pest has been attacking on the crops the farmer just have to click the image of the plant and our application will generate the prediction against the picture which will help the farmers to find out what kind of disease has been occurring to the plant

External Deliverable:

Our team will increase the awareness of people who are not familiar with this kind of technology and help the farmers to find out the plant’s disease   without any money

• Subscription
• Marketing
• Google Ads

Requirements

Month 1

Month 2

Month 3

Research

Model design and development

Model evaluation

Final Deliverable of the Project Software SystemCore Industry AgricultureOther Industries IT Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Elapsed time in (days or weeks or month or quarter) since start of the project	Milestone	Deliverable
Month 1	Research	Requirments and implementations