The document outlines a 'crop disease detection system' developed to help farmers identify diseases in crops using computer vision and deep learning techniques. It details the methodology including data collection, preprocessing, model building, and deployment, while emphasizing the use of CNN for image classification of diseased leaves. Future improvements are suggested to include disease detection from other parts of the crop beyond just leaves.

1. Crop Disease
Detection
System

2. Mentor
Mr. Pushp
Maheshwari
Team Members
Rajat Yadav(1873510042)
Sindhuja Pandey(1873510052)
Kanojiya Dheeraj Dinesh Kumar
(1873510026)

3. Content
OBJECTIVE
MODULES
SOFTWARE REQUIREMENTS
HARDWARE REQUIREMENTS
CURRENT SCENARIO
PROPOSED SYSTEM
METHODOLOGY OF PROPOSED
SYSTEM
CONCLUSION
FUTURE SCOPE
REFERENCES

4. Objective
As in our country, Agriculture is the main source of
income mainly for farmers.
Sometimes,crop suffers from disease.
These diseases are caused due to infections on leaf,
fruit and stems.
So, to overcome this problem faced by farmers we
came up with an idea of
"CROP DISEASE DETECTION SYSTEM".

5. Hence, computer vision employed with
deep learning provides the way to solve
this problem.
The model serves its objective by
classifying images of leaves into
diseased category based on the pattern
of defect.

6. Input
Image
Modules
Data cleaning
&
Preprocessing
Model
Building
tf
serving
Front End

7. Software Requirements
Model Building
Backend Server
Model
Optimization
Frontend &
Deployment
CNN
(Convolutional
Neural
Network)
tf serving
Quantisation

8. Hardware
Requirements
Minimum 4 GB RAM
2 GB GPU
System with

9. Current Situation
Initial Dataset: 2152 image
For Training: 80%
For Testing: 10%
For Validation: 10%

10. Methodology of Proposed System
Input Crop
Leaf Image
Dataset
Data
Collection
Pre-
Processing
Feature
Extraction
Classification
Disease
Prediction
Training
Dataset

11. Conclusion
Through this application we are
going to provide the knowledge of
different diseases for different crops
and their remedial solutions to the
farmers.

12. Future
Scope
This system considers only the leaf of the
plant to detect the disease of that crop.
It will be more convenient if the other parts of
the crop such as roots, stem, branches etc.
If a model provided with input other than leaf
image then also it shows some name of
disease for it.

13. Referenc
es
For data-
www.kaggle.com

14. Thank you!