Plant leaf disease using cnn

1. PLANT LEAF DISEASE
DETECTION USING
RASPBERRY PI

2. INTRODUCTION :
India is well known for its agriculture production.Most of the
population is dependent on agriculture.Farmers have variety of
options to cultivate crops in the field.
Generally there is a disease to plant ,we can say that leafs are
the main indicator of the disease caused to the plant.Mostly we can
see the spots on the leaves of it due to disease.
For the detection and prevention of the disease of plants
getting spread, We are system using a raspberry pi.

3. PROBLEM STATEMENT:
• The plant disease is the abnormal growth of a plant.The diseases
mostly on leaves and the stem of the plant.The diseases are viral,
bacterial, and fungal.
• It is an important task for farmers to find out these diseases as
early as possible.
• Plant disease identification by visual way is a more laborious task
the same time less accurate and can be done only in the limited
areas.
• Whereas if automatic detection technique is used, it will take less
effort, less time and more

4. OBJECTIVE:
 For the detection and prevention of disease of plants from
getting spread,we are discussing a system using raspberry
pi.
 It provides the best method for detection of plant diseases
using image processing and alerting about the disease
caused by sending email,SMS and displaying the name of
the disease on the monitor display of the owner of the
system.

5. BLOCK DIAGRAM:
REGULATED
POWER
SUPPLY
USB Camera
SD Card
RASPBERRY PI
Wifi
Display
To overcome this disease we are discussing the following technique:

6. FLOW CHART:

7. HARDWARE TOOLS:
• Regulated power supply
• USB Camera
• SD Card
• Display
• Raspberry PI 3B(It is a fast processor with low power consumption)
SOFTWARE TOOLS:
• Raspberry pi stretch OS
• IDLE
• Python language(high level scripting based programming language)

8. ADVANTAGES:
• It will reduce the cost required for the pesticides
and other products.
• This will lead to increase in productivity of the
farming.
• Also the cost and efforts are reduced.
APPLICATIONS:
• Bio-Farm
• Pesticides

9. CONCLUSION:
Basically there are three main types of Leaf disease, they
are Bacterial, Fungal and Viral. It is amportant in plant
disease detection to have the accuracy in the palnt
disease detection but at the same time the process should
be of high speed. Work can be extended by the use of
quadcopter for the capturing of images of leaves of the
different plants in the farm at field level. This system can
be connected to the server for further processing.