Leaf disease detection using Artificial Intelligence

Project Title

Leaf disease detection using Artificial Intelligence

Project Area of Specialization Artificial IntelligenceProject Summary

South Asian countries are amongst the largest producers of crops with favorable climate conditions and fertile soil. However, traditional agricultural mechanisms are in place and inadequate effort has been put into exploit the usage of technology. One of the main problems being faced by agriculture sector in Pakistan and other developing countries is that crop diseases are not diagnosed timely and efficiently. Conventional methods for disease diagnosis in crops lead to less accurate and inefficient diagnosis, consequently leading to low productivity. Plant diseases causes:

• Annual global food supply loss due to plant disease is 40% on average.
• In developing countries, smallholder farmers generate more than 80% of the agricultural production. For them, the loss of crops has devastating consequences.
• Sometimes, farmers can lose almost 100% of their crop due to plant diseases. This makes crop disease a major threat to food security around the world.

Many algorithms have been designed on it but could not achieve accurate results. Our target is to achieve a best algorithm for it.

Project Objectives

To resolve this problem, we aim to build an algorithm for making detection of the different plant leaves diseases. Further, the aim is to diagnose disease type and make it easy. In this way, in very less period of time anyone can diagnose and treat the disease in order to make the rest plants safe from the spreading of the disease.

      Objectives In Bullets:

• The main objective of the project is to speed up the plant disease detection.
• Developing a system to detect and classify the disease of the plant by uploading the leaf image to the system.
• The proposed system will provide information about the leaf image whether it is healthy or unhealthy. If the plant leaf is unhealthy the system will tell what type of disease the leaf has.
• The final product will be available as a hierarchy (GUI), which will be used by PC or Laptop.

Project Implementation Method

The final product will be available as a hierarchy (GUI), which will be used by PC or Laptop.

The system has to detect and classify the type of disease by uploading the leaf image to the system.

The proposed system will provide information about the leaf image whether it is healthy or unhealthy. If the plant leaf is unhealthy the system will tell what type of disease the leaf has.

If the plant leaf is healthy the system will tell you that the leaf is healthy.

Benefits of the Project

• The main benifit of the project is to speed up the plant disease detection.
• To make ease in the detection of the disease.
• To enhance the system for the South Asian countries as they are amongst the largest producers of crops with favorable climate conditions and fertile soil.
• To diagnose the crop diseases timely and efficiently by the agriculture sector in Pakistan and other developing countries as the conventional methods for disease diagnosis in crops lead to less accurate and inefficient diagnosis.
• To decrease Annual food supply loss due to plant diseases, which is 40% on average.

Technical Details of Final Deliverable

The final product will be available as a hierarchy (GUI), which will be used by PC or Laptop.

Final Deliverable of the Project Software SystemCore Industry AgricultureOther Industries Food , Energy , Health Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Decent Work and Economic GrowthRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	10000
GUI(Graphical user interface)	Miscellaneous	2	3000	6000
Google cloud space	Miscellaneous	1	4000	4000