12-11-2012, 05:11 PM
Leaves Recognition System
[attachment=39138]
INTRODUCTION
India is agriculture based country.
Pest and Disease affect crops.
Present on Leaves or stem of plant.
Finding the symptoms, plays key role in successful cultivation of crops.
To get Treatment farmer approaches expert.
Farmers getting some problem to get the advice.
The propose “LEAVES RECOGNITION SYSTEM”
aimed to develop system which recognize the image of leaves by using trained neural network.
User scan the leaf image, click the recognition button to recognize leaf.
After recognition of leaf image system detect the disease.
Provide solution to leaf disease.
Problem Specification for proposed project
1. Leaves Processing module:
The first module ‘Image processing’ module is finding an edge of the given leaf and also finding the token values.
2. Network Training module.
The second module ‘network training module’ is training the entire network and drawing the error graph
3. Leaf Recognition module.
The third module ‘recognition module’ is recognizing the given leaf at what percentage it matches to the already trained leaf. For recognition part Artificial neural network is use.
4. Pest recognition module.
The fourth module ‘Pest Recognition module’ is finding out the pest percentage on the given leaf using fuzzy feature selection method.
5. Expert advice module.
Module is matching the pest details in the database and retrieving the stored information regarding the remedial measures for the concerned pest.
REQUIREMENT SPECIFICATION
Computational Requirement Specification
To study about Prewitt edge detection algorithm.
Applying Thinning algorithm.
Study about back propagation neural networks.
Recognizing leaves and finding the percentage of best fit with the existing leaf.
Implementing fuzzy feature selection process for recognizing pest percentage.
[attachment=39138]
INTRODUCTION
India is agriculture based country.
Pest and Disease affect crops.
Present on Leaves or stem of plant.
Finding the symptoms, plays key role in successful cultivation of crops.
To get Treatment farmer approaches expert.
Farmers getting some problem to get the advice.
The propose “LEAVES RECOGNITION SYSTEM”
aimed to develop system which recognize the image of leaves by using trained neural network.
User scan the leaf image, click the recognition button to recognize leaf.
After recognition of leaf image system detect the disease.
Provide solution to leaf disease.
Problem Specification for proposed project
1. Leaves Processing module:
The first module ‘Image processing’ module is finding an edge of the given leaf and also finding the token values.
2. Network Training module.
The second module ‘network training module’ is training the entire network and drawing the error graph
3. Leaf Recognition module.
The third module ‘recognition module’ is recognizing the given leaf at what percentage it matches to the already trained leaf. For recognition part Artificial neural network is use.
4. Pest recognition module.
The fourth module ‘Pest Recognition module’ is finding out the pest percentage on the given leaf using fuzzy feature selection method.
5. Expert advice module.
Module is matching the pest details in the database and retrieving the stored information regarding the remedial measures for the concerned pest.
REQUIREMENT SPECIFICATION
Computational Requirement Specification
To study about Prewitt edge detection algorithm.
Applying Thinning algorithm.
Study about back propagation neural networks.
Recognizing leaves and finding the percentage of best fit with the existing leaf.
Implementing fuzzy feature selection process for recognizing pest percentage.