Tomato plant diseases classification
Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. Early detection of plant diseases u
Project Title
Tomato plant diseases classification
Project Area of Specialization
Project Summary
Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. Early detection of plant diseases using computer vision and artificial intelligence (AI) can help to reduce the adverse effects of diseases and also helps to overcome the shortcomings of continuous human monitoring. In this study, we have extensively studied the performance of the different state-of-the-art convolutional neural networks (CNNs) classification network architectures i.e. ResNet18, MobileNet, DenseNet201, and InceptionV3 on 18,162 plain tomato leaf images to classify tomato diseases. The comparative performance of the models for the binary classification (healthy and unhealthy leaves), six-class classification (healthy and various groups of diseased leaves), and ten-class classification (healthy and various types of unhealthy leaves) are also reported.
Project Objectives
To identify tomato diseases
To Collect Image Data from Field and Build data set
To perform Data preprocessing and train the model for Disease Classification
Project Implementation Method
start to together requirements of use in this project. 1 capture the images to create the dataset and also a few image dataset buy form the third party then Cleaning to the dataset and apply the method of preprocessing for the ready to model building. model build in python programming using jupyter notebook and after this model deploy on the google cloud using Tf Sering this work completed then create fast API ( Application Programming Interface) finally create the Mobile App using React Native and create a website using React js
Benefits of the Project
improve farmer information to identify Plant disease
To improve the growing of fresh and safe tomatoes The basic food for all organisms is produced by green plants.find the plant is Not affected
To provide a complete set of production technology including
quality seedlings plants
Plant healthy Food healthy humans healthy
Technical Details of Final Deliverable
we are going to implement a system using artificial intelligence to detect the disease of affected plants that will help those farmers to avoid problems
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| camera | Equipment | 1 | 42000 | 42000 |
| domain hosting | Equipment | 1 | 12999 | 12999 |
| stationery | Miscellaneous | 20 | 450 | 9000 |
| dslr tripod | Equipment | 1 | 3000 | 3000 |
| template | Equipment | 1 | 2000 | 2000 |
| Total in (Rs) | 68999 |
If you need this project, please contact me on contact@adikhanofficial.com
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