Leaf Disease Detection

Leaf Disease Detection is an intelligent system based mobile application to detect leaf viruses using a (DL) Deep Learning method or algorithm where farmers can easily identify the diseases and can get knowledge about the plants and their treatments. This system is mainly focused on

Project Title

Leaf Disease Detection

Project Area of Specialization

Artificial Intelligence

Project Summary

Leaf Disease Detection is an intelligent system based mobile application to detect leaf viruses using a (DL) Deep Learning method or algorithm where farmers can easily identify the diseases and can get knowledge about the plants and their treatments. This system is mainly focused on minor vegetable tomato crops in Pakistan. This application is developed to get the health status of that plant and boost the growth of tomatoes plant by maintaining the leaf area. Thus, this system will enhance the economic development of Pakistan.

Project Objectives

To establish a system that can identify and detect the types of diseases to enhance the economic development of Pakistan.
• To get the health status of that plant.
• Identification of exact changes happening in the tomato leaf.
• Monitoring disease occurrence of Plants, a late blight, bacterial spot, early blight, leaf mold spider mites, Septoria leaf, yellow leaf curl virus, target spot, mosaic virus. disease in tomato leaf.

Project Implementation Method

In traditional method, each farmer had their own perceptions of how to diagnose the disease which is time consuming also the result was not accurate that directly affect the agricultural and economical growth but with the help of this application, disease would be diagnose under one standard.
The model that we have used to design and develop our project is Rapid development model. Thus rapid development model approach gives more priority to the development task rather than planning.
In this application, the users can create an account, users must be login to access the system, and users can access the dashboard of the system, can capture image, or select from gallery, send photo to the server The system will analyze the image and will extract the features, generating the result and send to the user device and will send result on the user device. User will be able to search and view disease. The system will be efficient, operatable, available for user 24/7 with high accuracy.

Benefits of the Project

Plant disease recognition app would deliver all accurate information about the plants. It will reduce a huge work of monitoring in big crops farms, and in the early stages, it detects the symptoms of the disease.
Users will have a platform in the form of a mobile application.
Users would be able to use a platform in which they can take care of their plants in a better way.

• Maintain the security of all user's accounts
• Strong backend database
• Perfect accuracy in work
• Well designed for all users
• Easy to use

Farmer: This system is user-friendly and will be easy to
understand, easily retrieval of information for farmers and will
reduce time.
Plant Pathologist: Diagnosis of plant disease and early and
accurate detection is the key factor of this application it will reduce time and cost.
The shopkeeper of the fertilizer: Having better crops will create more value for the customer.
Students in the agricultural field: During the training period, students will have a platform where they can learn about the crop and improve their training.
In economic development: It will increase the availability of crops and the economy will be enhanced.

Technical Details of Final Deliverable

This application will be based on CNN (Deep Learning) to train our model, and use react-native technology to develop a mobile application, and this can be run on any network environment, in this system, there are user’s login panel.
Users: User can access the dictionaries and treatments and can identify disease by taking leaf’s picture through the mobile camera and can also access their image gallery.
Strong backend database dataset. Perfect accuracy.
Easily retrieval of information Well UI design for the project
Easy to use Users friendly

Final Deliverable of the Project

Software System

Core Industry

Agriculture

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com