Design and Development of an Apple Fruit Disease Identification Methodology Based on Enhanced Deep Learning Strategy-Reference-Cited by-同舟云学术

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Design and Development of an Apple Fruit Disease Identification Methodology Based on Enhanced Deep Learning Strategy

Published:2024-04-04 Issue: Volume:14 Page:1-8
ISSN:
Container-title:2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
language:
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Author:

Mallikarjuna G.¹,Parivazhagan A.²,Vasumathi G.³,Hemajothi S.⁴,Sabitha R.⁵

Affiliation:

1. Madanapalle Institute of Technology & Science,Department of EEE,Madanapalle,Andhra Pradesh

2. Kalasalingam Academy of Research and Education,Department of CSE,Krishnankoil

3. S.A. Engineering College,Department of ECE,Chennai

4. Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College,Department of ECE,Chennai

5. Rajalakshmi Engineering College,Department of CSE,Thandalam, Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10568576/10568577/10568770.pdf?arnumber=10568770

Reference15 articles.

1. Diagnosis of some apple fruit diseases by using image processing and artificial neural network

2. Identification of apple leaf disease via novel attention mechanism based convolution neural network;Hebin;Frontiers in Plant Science,2023

3. An Experimental Analysis of Crop Yield Prediction using Modified Deep Learning Strategy;S

4. Disease Detection in Apple Leaves Using Image Processing Techniques

5. Automated Breast Cancer Classification based on Modified Deep learning Convolutional Neural Network following Dual Segmentation

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