Enhancing Banana Leaf Spot Disease Classification using Dense Mobilenet V2-Reference-Cited by-同舟云学术

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Enhancing Banana Leaf Spot Disease Classification using Dense Mobilenet V2

Published:2024-05-09 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Haq Mohamed Kaisarul¹,Tanvir Kazi²,Kabir Md. Sayem³,Alam Nure Saba Binte³,Dey Subrato Kumar⁴,Raju Valliappan⁵

Affiliation:

1. Jesselton University College,Center of Post Graduate Studies,Sabah,Malaysia

2. Vellore Institute of Technology,School of Advanced Sciences,Vellore,Tamil Nadu,India

3. American International University-Bangladesh,Department of Computer Science,Dhaka,Bangladesh

4. Arka Jain University,Dept. of Management,Jharkhand,India

5. Perdana University,Kuala Lumpur,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10601631/10601667/10602228.pdf?arnumber=10602228

Reference24 articles.

1. Musa species variation, production, and the application of its processed flour: A review

2. Banana ( Musa spp .) as a Source of Bioactive Compounds for Health Promotion

3. Farmer’s profitability of banana cultivation at narsingdi district;Rahman;International Journal of Multidisciplinary Informative Research and Review,2020

4. Distribution of Pseudocercospora species causing Sigatoka leaf diseases of banana in Uganda and Tanzania

5. An Experimental Analysis of Crop Yield Prediction using Modified Deep Learning Strategy;P. S;(ACCAI),2022

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