This document outlines a proposed plant leaf disease detection system using image processing on Android mobile phones. The system aims to help farmers easily and cost-effectively detect plant diseases, identify severity levels, and receive treatment suggestions. It will use algorithms like blob detection and HSV color modeling to analyze leaf images and determine diseases. The Android app is intended to provide an affordable solution to identify a variety of disease types and inform farmers in their local language.

1. Plant Leaf Disease Detection System

2. INDEX
 Introduction
 Problem statement
 Purpose
 Scope
 Exiting system
 Literature survey
 Proposed system
 Proposed system architecture
 Product function
 ER – diagram
 Activity diagram(UML)
 Sequence diagram(UML)
 Blob Detection algorithm
 HSV Color model algorithm
 Hardware and software requirement
 Conclusion

3. INTRODUCTION
Plants have become an important source of energy, and are a fundamental piece
in the puzzle to solve the problem of global warming.
There are several diseases that affect plants with the potential to cause
devastating economic, social and ecological losses.
In this context, diagnosing diseases in an accurate and timely way is of the
utmost importance.

4. PROBLEM STATEMENT
To make an efficient use of Image Processing by using Android Mobile which reduces
time and Cost for Farmer to detect the disease and suggest the fertilizers for Plant .

5. PURPOSE
 There are many issues to farmers regarding diseases of plants, many times they do
not get proper guidance to detect and cure diseases of plants.
 Proposed system helps user in detection and prevention of plant diseases with the
use of Android application, which is very useful, simple and efficient technology
can be used by any user facing problem related to plant disease.

6. SCOPE
In Agriculture field all the peoples:
 Farmer
 SHOPKEEPERS OF FERTILIZER
 STUDENTS IN AGRICULTURE FIELD
 SCIENTIST

7. EXISTING SYSTEM
Existing System:
1) Detects insects of only one color.
2) Little Image processing algorithms used.
3) Traditional approaches were used.
4) Lower Accuracy

8. LITERATURE SURVEY
 There are several types
of Plant diseases
symptoms like:
•
Bacterial Disease,
•
Fungal Disease and
•
Viral Disease

10. PROPOSED SYSTEM
 OBJECTIVES OF PROPOSED SYSTEM
The objectives are as follows:
1.To make an efficient use of image processing techniques.
2.Provide solution with least hardware requirement.
3.To develop an Android application that is cost efficient, as
android phones are widely available at low costs.
4.Minimize the use of resources as farmers can’t afford
costly equipment.
5.Easy to use and accurate so that farmers can adopt the
application quickly.
6.Output display on android mobile app.

11. PROPOSED SYSTEM ARCHITECTURE AND
EXPECTED OUTPUT
 Features of proposed system are
 This system identifies infestation of any
color by adjusting the intensity
 The Image Processing approach used by
us covers farmhouse trees as well as farm
trees
 We are introducing an android application
system which will display the information
in Hindi or English.
Fig 1. Plant disease detection

12. PRODUCT FUNCTION
Proposed system uses flow which includes:
1. Image is converted to HSV format.
2. Disease parts of plan leaf will be observed and HSV range will be determined.
3. Blobs(rectangle) will be drawn around detected disease area.
4. Plant disease will be determined based on detected disease area and HSV value.
5. System will able to give output in the form severity like low medium and high.

13. ER - DIAGRAM
Fig 2. ER -diagram

14. ACTIVITY DIAGRAM
Fig 3. ACTIVITY-diagram

15. SEQUENCE DIAGRAM
Fig 4. SEQUENCE-diagram

16. USE CASE DIAGRAM
fig.5 USE CASE-diagram

17. BLOB DETECTION ALGORITHM
1 Blob detection algorithm:
A blob is a region of an image in which some properties are constant or approximately
constant,.Blob is rectangular area.
Applied mean filter:
1)Thresholded image using adaptive thresholding (returning a binary image).
2)Removed lines by checking connectivity, all lines are connected with above 100 pixels (for better connectivity
mean filter was applied first).
3)Now since only blobs were remaining, their locations were identified (with grayvalue=255) and corresponding
pixels were taken in original image.

18. HSV COLOR ALGORITHM
HSV Color model:

19. HARDWARE AND SOFTWARE
REQUIREMENTS
 Hardware :
1. Android mobile phone(4.0 & above) with camera module
2. RAM 8 GB
 Software :
1. Operating system : Windows version 7
2. Language : Android
3. IDE/Software with version : Android sdk, Android studio 2
4. Open CV

20. CONCLUSION
 This proposed system describes different techniques of image processing for
detecting plant diseases.
 The disease of the plant is known at at an early stage and the cure is
suggested using different languages namely Hindi or English.