PRESENTATION[1].pdf it was a useful project

it will be useful for students how are doing ppt related to plants

1. Students Name
M. Jenifar - 22459UCS061
P. Poncy - 22459UCS084
M. Subbu - 22459UCS093
S. Veni - 22459UCS096
Identification
of Medicinal Plant
Using Deep Learning
- Guided By
Dr. A. Shameem Fathima

2. Contents
Abstract
Requirements
Introduction
Architecture
Diagram
Flow Chart
Modules
1
3
2
4
5
6

3. Abstract
❖Various plant parts are used as essential components in producing
natural medicines.
❖As a result, the digitalization of beneficial therapeutic plants is
critical for biodiversity preservation.
❖The use of Convolutional Neural Network (CNN)-based
techniques to distinguish Indian leaf species is investigated in
this project.
❖Identification of the correct medicinal plants that goes in to the
preparation of a medicine is very important in ayurvedic, folk and
herbal medicinal industry.

4. ❖In this project we explore feature vectors from both the front and back
side of a green leaf along with morphological features to arrive at a unique
optimum combination of features that maximizes the identification rate.
❖A database of medicinal plant leaves is created from scanned images of
front and back side of leaves of commonly used medicinal plants.
❖The leaves are classified based on the shape and dimension combination.
❖It is expected that for the automatic identification of medicinal plants this
system will help the community people to develop their knowledge on
medicinal plants, help taxonomists to develop more efficient species
identification techniques and also participate significantly in the
pharmaceutical drug manufacturing.

5. Introduction
❖The main objective of the project is to create a reliable
and efficient tool for identifying medicinal plants.
❖This can be used in various fields such as herbal
medicine, agriculture, conservation, and research.
❖By automating the identification process, the project
aims to make it easier for non-experts to recognize and
utilize medicinal plants, thus promoting their use in
traditional and alternative medicine.

6. Hardware Requirements
Intel i3 Processor
Minimum 4GB RAM
500 GB SSD Hard drive

7. Operating System : Windows
10,11 64 bit system
Python IDE 3.7.6
Software Requirements

8. Sample Image Upload image Testing
Predicted result
To collect the medical
plant leafs images
Pre processing
1.Data Cleaning
2.Data
Normalization/St
andardization
3.Data Encoding
Feature
Extraction
1. Using the DCNN
Layers
Training
1.Training in deep
learning refers to the
process of teaching a
deep neural network to
perform a specific task
2.Such as image
classification, natural
language processing
Database
Trained
Database
Architecture Diagram

9. Data collection
Data Pre processing
Feature extraction
DCNN classification
Training
Testing
Result
Flow Chart

10. Module
Data Collection
Data Preprocessing
Feature Extraction
Classification
Result Generated

11. THANK YOU