Fast AI and Deep Learning Based Optimized Plant Leaf Disease Detection

EasyChair Preprint 9844

Abstract

This manuscript aims to build a deep learning model which should successfully label between healthy and infected plant leaves and also classify the disease if present. The model will help farmers to detect diseases in their crop in a very convenient way.In this model, the author team has trained a 5-layered CNN model with the large dataset of plant leaves images, the team has also used a pre-trained CNN model(densenet121) for the classification ( transfer learning) and compare the performances of both the models. The team has tried to enhance the accuracy of their model at least between 85-90%. The team has also used OpenCv for easy interaction with the user.

Keyphrases: Convolutional Neural Netwrok, FastAI, Transfer Learning

@booklet{EasyChair:9844,
  author    = {Akhilesh Kumar Srivastava and Anant Mani Tiwari and Aman Singh},
  title     = {Fast AI and Deep Learning Based Optimized Plant Leaf Disease Detection},
  howpublished = {EasyChair Preprint 9844},
  year      = {EasyChair, 2023}}