Ai based Tomato leaf Disease Prediction and Cure

Project Title

Ai based Tomato leaf Disease Prediction and Cure

Project Area of Specialization Artificial IntelligenceProject Summary

Agriculture is the major source of food for the huge population in Pakistan. Its contribution towards GDP is about 25% which is higher than the contribution of any other sector. Tomato is mainly produced by small farms in Pakistan. It offers relatively better profits to producers and generates better employment opportunities to rural labourers as this is a labour-intensive crop. In 2017 Pakistan was ranked number 3 in the global production of tomato. Currently Pakistan produced 0.566 million tons as the 37th largest producer in the world. Agriculture is the major source of food for the huge population in Pakistan. Its contribution towards GDP is about 25% which is higher than the contribution of any other sector. Tomato is mainly produced by small farms in Pakistan. It offers relatively better profits to producers and generates better employment opportunities to rural labourers as this is a labour-intensive crop. In 2017 Pakistan was ranked number 3 in the global production of tomatoes. Currently, Pakistan produced 0.566 million tons as the 37th largest producer in the world.

Keeping in view the vast production of tomato, we are developing an Ai hardware-based project to predict the disease to guide the farmers of tomatoes

Some examples of tomato leaf disease are

• Tomato leaf mold.
• Early blight.
• Bacterial spots.

Project Objectives

Keeping in view the vast production of tomato, we are developing an Ai app that will predict the disease of tomatoes and it will give the tomato harvester guidance to cure the disease in their crops. TomCure, is an AI based application that will ease the life of tomato producer. It predicts the diseases of tomato leaf and will give the guidance to the farmers relative to (remove) the disease. It will use the camera of your phone to Predict the disease on tomato leaves in real time. Some examples of tomato leaf disease are Tomato leaf mold. Early blight. Bacterial spots. HOW? Resultantly, by using a mobile application Monitoring the disease of Tomato leaf and fruit . If the crop is bacterial then it will tell what the bacteria is. it will give the farmers the real time detection of the bacteria on leaf. If there are any symptoms of the disease, it will guide the farmers and brings out best solution. Objectives: Monitor the Tomato leaf, to keep the crop healthy and of high quality. Predicts the Disease, detects the disease on tomato leaf intime to prevent loss. Cure the disease, provide remedies relevant to the disease.

Keeping in view the vast production of tomato, we are developing an Ai app that will predict the disease of tomatoes and it will give the tomato harvester guidance to cure the disease in their crops. TomCure, is an AI based application that will ease the life of tomato producer. It predicts the diseases of tomato leaf and will give the guidance to the farmers relative to (remove) the disease. It will use the camera of your phone to Predict the disease on tomato leaves in real time.

Some examples of tomato leaf disease are

• Tomato leaf mold.
• Early blight.
• Bacterial spots.

HOW?

Resultantly, by using a mobile application

• Monitoring the disease of Tomato leaf and fruit .
• If the crop is bacterial then it will tell what the bacteria is.
• it will give the farmers the real time detection of the bacteria on leaf.
• If there are any symptoms of the disease, it will guide the farmers and brings out best solution.

Objectives:

• Monitor the Tomato leaf, to keep the crop healthy and of high quality.
• Predicts the Disease, detects the disease on tomato leaf intime to prevent loss.
• Cure the disease, provide remedies relevant to the disease.

Project Implementation Method

This project will use our jetson nanochip which will detect the disease in realtime and it will help farmers to detect and cure the disesase in time to prevent further loss

Benefits of the Project

• Monitor the Tomato leaf, to keep the crop healthy and of high quality.
• Predicts the Disease, detects the disease on tomato leaf intime to prevent loss.
• Cure the disease, provide remedies relevant to the disease.

Technical Details of Final Deliverable

Agriculture is the major source of food for the huge population in Pakistan. Its contribution towards GDP is about 25% which is higher than the contribution of any other sector. Tomato is mainly produced by small farms in Pakistan. It offers relatively better profits to producers and generates better employment opportunities to rural labourers as this is a labour-intensive crop. In 2017 Pakistan was ranked number 3 in the global production of tomato. Currently Pakistan produced 0.566 million tons as the 37th largest producer in the world. Agriculture is the major source of food for the huge population in Pakistan. Its contribution towards GDP is about 25% which is higher than the contribution of any other sector. Tomato is mainly produced by small farms in Pakistan. It offers relatively better profits to producers and generates better employment opportunities to rural labourers as this is a labour-intensive crop. In 2017 Pakistan was ranked number 3 in the global production of tomatoes. Currently, Pakistan produced 0.566 million tons as the 37th largest producer in the world.

Keeping in view the vast production of tomato, we are developing an Ai hardware-based project to predict the disease to guide the farmers of tomatoes

This project will use our jetson nanochip which will detect the disease in realtime and it will help farmers to detect and cure the disesase in time to prevent further loss

Final Deliverable of the Project Hardware SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Decent Work and Economic GrowthRequired Resources

Elapsed time in (days or weeks or month or quarter) since start of the project	Milestone	Deliverable
Month 1	Disease detection	Hardware based detection