Disease Detection of crops
Developing Disease detection of crops. This website and application have ability to detect the disease of crops and recommend the pesticide which is effectively effect on disease. User will be able to take the image the effected crop. After that site will tell which disease is attacked on crop and a
2025-06-28 16:26:43 - Adil Khan
Disease Detection of crops
Project Area of Specialization Artificial IntelligenceProject SummaryDeveloping Disease detection of crops. This website and application have ability to detect the disease of crops and recommend the pesticide which is effectively effect on disease. User will be able to take the image the effected crop. After that site will tell which disease is attacked on crop and after that site will recommend best and effective pesticide for that disease and also notify to userto take recommendation from specialist.
Project ObjectivesWe will provide easy to detect the crops diseases. Farmer can easily take the picture of the disease and detect which disease is effected on it. Because it give some idea to farmer in disease detection
Sometime the Farmer are unable to recognize its effected crop so this website and app will provide easiness to farmer.
Most of the time, Small Farmer come in stress because he totally rely on its crops so it give advantage.
As we will provide Online detection in one step to farmer so can easily take picture of the disease and get his answer in few seconds after Detection.
Project Implementation MethodImage processing has proved to be effective technique for analysis in various fields and applications of an agriculture area. Image processing with availability of communication network can change the situation of getting the expert advice well within time and at affordable cost since image processing was the effective tool for analysis of scenario. This paper intends to focus on the survey of application of image processing in agriculture field such as imaging processing techniques for Crop Management, disease detection. The analysis of the parameters has proved to be accurate and less time consuming as compared to previous methods. Keywords: Image Processing, Remote sensing, Nutrient deficiencies, pest identification, Fruit grading, Crop management.
Benefits of the ProjectIt will improve the growth per year.
It will improve the life of Farmer.
It will improve farmer per year anum.
It will improve the economy by increase of crops.
Early detection of disease and early recover the crop loss.
Technical Details of Final DeliverableDisease Will be detected by Object Detection method and will tell which disease is attacked on crops.
After thats tell which disease is detected and which pesticide should be use for detected disease.
Final Deliverable of the Project Software SystemCore Industry AgricultureOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable 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) | 30000 | |||
| Domain and hosting | Equipment | 2 | 15000 | 30000 |