Plant Disease Detection using Artificial Intelligence techniques for Agricultural productivity enhancement in Egypt-Reference-Cited by-同舟云学术

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Plant Disease Detection using Artificial Intelligence techniques for Agricultural productivity enhancement in Egypt

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Telecommunications Conference (ITC-Egypt)
language:
Short-container-title:

Author:

Ibrahim Aya Osman¹,Elghamrawy Sally²

Affiliation:

1. The British university in Egypt,Computer Engineering Department,Cairo,Egypt

2. MISR Higher Institute for Engineering and Technology,Computer Engineering Department,Mansoura,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10206047/10206045/10206149.pdf?arnumber=10206149

Reference17 articles.

1. Deep Residual Networks (ResNet, ResNet50) – 2023 Guide;boesch;viso ai,2023

2. The History of Artificial Intelligence;New Sci,2020

3. New Plant Diseases Dataset;bhattarai,0

4. Inception V3 Model Architecture;t;OpenGenus IQ Computing Expertise & Legacy,2021

5. From machine learning to deep learning in agriculture – the quantitative review of trends;radman-funari?;IoP Conference Series,2020

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