Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application-Reference-Cited by-同舟云学术

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Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application

Published:2024 Issue: Volume:12 Page:83575-83588
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Salam Abdus¹^ORCID,Naznine Mansura²^ORCID,Jahan Nusrat¹^ORCID,Nahid Emama¹,Nahiduzzaman Md¹^ORCID,Chowdhury Muhammad E. H.³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh

2. Department of Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh

3. Department of Electrical Engineering, Qatar University, Doha, Qatar

Funder

Qatar National Library

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10542492.pdf?arnumber=10542492

Reference47 articles.

1. Phytochemical evaluation of white (Morus alba L.) and black (Morus nigra L.) mulberry fruits, a starting point for the assessment of their beneficial properties

2. Determination of fruit chemical properties of Morus nigra L., Morus alba L. and Morus rubra L. by HPLC

3. Proximate Composition and Antioxidant Potential of Leaves from Three Varieties of Mulberry (Morus sp.): A Comparative Study

4. CNN based on Overlapping Pooling Method and Multi-layered Learning with SVM & KNN for American Cotton Leaf Disease Recognition

5. Nutritional composition in leaves of some mulberry varieties:- A comparative study

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