See you in two years!
11-16 April 2026
Conference 13006 > Paper 13006-25
Paper 13006-25

Automated Plant Disease Analysis (APDA) using Transfer learning technique on pre-trained CNN model

9 April 2024 • 12:20 - 12:40 CEST | Etoile B, Niveau/Level 1

Abstract

Using machine learning techniques like deep neural networks for classifying plant diseases in images. Manual classification of plant diseases is time-consuming and requires trained professionals. Early detection of plant diseases is important for food security. Transfer learning with pre-trained neural networks is an effective approach for classifying plant diseases in images, with the potential to help scale up disease detection efforts.

Presenter

Vijay Prabhakar
Indian Institute of Technology Delhi (India)
Vijay Prabhakar received the M.Tech. degree in Digital communication from Netaji Subhas University of Technology (East Campus), Delhi, India. He is currently a Research Scholar with the Centre for Sensors, Instrumentation and Cyber-Physical System Engineering (SeNSE), IIT, Delhi, India. His research interests include Smartphone-based imaging and bio-sensing for Point-of-care diagnostics applications, microscopy, image processing, and machine learning.
Application tracks: AI/ML
Presenter/Author
Vijay Prabhakar
Indian Institute of Technology Delhi (India)
Author
Sunita Bhatt
Indian Institute of Technology Delhi (India)
Author
Satish K. Dubey
Indian Institute of Technology Delhi (India)