Automatic leaf Infection Identification
Identification of plant disease is usually done through visual inspection or during laboratory examination which causes delays resulting in yield loss by the time identification is complete. On the other hand, complex deep learning models perform the task with reasonable p
Project Title
Automatic leaf Infection Identification
Project Area of Specialization
Project Summary
Identification of plant disease is usually done through visual inspection or during laboratory examination which causes delays resulting in yield loss by the time identification is complete.
On the other hand, complex deep learning models perform the task with reasonable performance but due to their large size and high computational requirements, they are not suited to mobile and handheld devices.
Project Objectives
MAIN OBJECTIVE IS TO FIND A DISEASE ANYWHERE FROM OHONE YOU WILL NOT REQUIRED AN EXPERT .The proposed model of disease identification provides an accuracy of 98.79% with a standard deviation of 0.57 on 10-fold cross validation.
Project Implementation Method
Image acquisition is the very first step that requires capturing an image with the help of a digital camera.
Pre-processing of input image to improve the quality of image and to remove the undesired distortion from the image.
Mostly green colored pixels, in this step, are masked In the infected clusters, inside the boundaries,
remove the masked cells.
Obtain the useful segments to classify the leaf diseases
Benefits of the Project
In this we not pay extra payment for disease research .In this farmer can easily treat crops from our app .It is less expensive
Technical Details of Final Deliverable
To improve recognition rate of final classification process hybrid algorithms like Artificial Neural Network
s future enhancement of the project is to develop the open multimedia (Audio/Video) about the diseases and their solution automatically once the disease is detected.
Dataset
Laptop with 8 gb RAM
Android Studio
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) |
|---|---|---|---|---|
| Playstore upload fee | Miscellaneous | 1 | 5000 | 5000 |
| Total in (Rs) | 5000 |
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