Machine Learning and Deep Learning Techniques for Plant Disease Classification
Online Guest Lecture
on
Machine Learning and Deep Learning Techniques
for Plant Disease Classification
Organized by
Department of Computer Applications (MCA)
Date: 24.08.2024
On August 24, 2024, the Department of Computer Applications (MCA) at Patna Women’s College (Autonomous) hosted an engaging Online Guest Lecture on ” Machine Learning and Deep Learning Techniques for Plant Disease Classification” in the Virtual Lab under the PWC Alumni Connect initiative for all the students of MCA Semester-I and III and PGDCA Semester- I students respectively to inculcate an inter-disciplinary approach towards their careers. The session was graced by the presence of Ms. Neha Roy Research Scholar, Guru Govind Singh Indraprastha University. She is a gold medalist in MCA from Patna women’s college. She also worked as an assistant professor in Trinity Institute og Professional Studies (New Delhi). She is currently pursuing PhD from Guru Govind Sing Indraprastha University and is working as Junior Research Fellow on project founded by the department of Biotechnology (Government of India)
Ms. Rupal Kumari , the class representative of MCA Semester -III , welcomed the resource person with the token of respect. Ms Neha not only gave lectures during her session, but also conducted some activities on Google collab. Her session was excessively interactive and practical.
Highlights of the session:
- Ms. Neha explained key points and unique characteristics of Machine Learning and Deep learning;
- She explained the differences of Machine Learning and Deep Learning;
- She also introduced to different plant diseases and factors influencing the plant disease classification;
- She explained the steps for Model Training in Plant disease classification;
- She also explained image normalization and image resizing techniques;
- She explained the Convolutional Neural Network (CNN);
- She also demonstrated her project on Potato disease classification through a video;
- She shared the project code and live demonstrated the working of it through google drive and google collab.
There was a very positive response from the students and they learmt some new things in this session. At last, the event was winded-up by “Vote of Thanks”, by Ms. Sonam Kumari the class representative of MCA semester-I. All the faculty members attended the session.
