Tomato plant diseases classification

Project Title

Tomato plant diseases classification

Project Area of Specialization Artificial IntelligenceProject 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 Software SystemCore Industry AgricultureOther Industries IT Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Life on LandRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	68999
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