Walnut Leaf Disease Identification with Multi-Level CNN Architecture-Reference-Cited by-同舟云学术

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Walnut Leaf Disease Identification with Multi-Level CNN Architecture

Published:2024-03-01 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 3rd International Conference for Innovation in Technology (INOCON)
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Author:

Rana Gautam¹,Singh Rahul²,Malhotra Sonal³,Devliyal Swati⁴,Pal Abhishek²,Gupta Rupesh²

Affiliation:

1. VLSI Centre of Excellence Chitkara University Institute of Engineering and Technology Chitkara University,Punjab,India

2. Chitkara University Institute of Engineering and Technology Chitkara University,Punjab,India

3. Computer Science & Engineering Graphic Era Hill University,Dehradun,Uttarakhand,India,248002

4. Computer Science & Engineering Graphic Era Deemed to be University,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511271/10511093/10511935.pdf?arnumber=10511935

Reference25 articles.

1. A Convolutional Neural Networks Based Method for Anthracnose Infected Walnut Tree Leaves Identification

2. Performance Analysis of Deep Learning CNN Models for Variety Classification in Hazelnut

3. Impact of n-butanol as an additive with eucalyptus biodiesel-diesel blends on the performance and emission parameters of the diesel engine

4. A survey on planar ultra-wideband antennas with band notch characteristics: Principle, design, and applications

5. Double lead-free perovskite solar cell for 19.9% conversion efficiency: A SCAPS-1D based simulation study

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