Maize leaf disease detection using convolutional neural network: a mobile application based on pre-trained VGG16 architecture-Reference-Cited by-同舟云学术

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Maize leaf disease detection using convolutional neural network: a mobile application based on pre-trained VGG16 architecture

Published:2024-08-04 Issue: Volume: Page:1-17
ISSN:0114-0671
Container-title:New Zealand Journal of Crop and Horticultural Science
language:en
Short-container-title:New Zealand Journal of Crop and Horticultural Science

Author:

Paul Hansamali¹,Udayangani Hirunika¹,Umesha Kalani¹,Lankasena Nalaka¹,Liyanage Chamara¹,Thambugala Kasun²³⁴

Affiliation:

1. Department of Information & Communication Technology, Faculty of Technology, University of Sri Jayewardenepura, Homagama, Sri Lanka

2. Genetics and Molecular Biology Unit, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka

3. Center for Biotechnology, Department of Zoology, University of Sri Jayewardenepura, Nugegoda, Sri Lanka

4. Center for Plant Materials and Herbal Product Research, Department of Botany, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01140671.2024.2385813

Reference57 articles.

1. Facial Recognition Using Aggregation and Random Forest Classification Method

2. Automatic Number Plate Recognition Using Random Forest Classifier

3. Plant Disease Detection using AI based VGG-16 Model

4. Grape Crop Disease Classification Using Transfer Learning Approach

5. Automatic Rice Leaf Disease Segmentation Using Image Processing Techniques

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