Zea Mays Multi-Disease Classification and Severity Assessment with EfficientNetV2 Variants-Reference-Cited by-同舟云学术

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Zea Mays Multi-Disease Classification and Severity Assessment with EfficientNetV2 Variants

Published:2023-09-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Region 10 Symposium (TENSYMP)
language:
Short-container-title:

Author:

Evangelista Ivan Roy S.¹,Cabatuan Melvin K.¹,Milagrosa Lorelyn Joy T.²,Bandala Argel A.¹,Concepcion Ronnie³,Dadios Elmer P.³

Affiliation:

1. De La Salle University,Department of Electronics and Computer Engineering,Manila,Philippines

2. University of Southern Mindanao,Department of Crop Science,North Cotabato,Philippines

3. De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10223594/10223477/10223621.pdf?arnumber=10223621

Reference23 articles.

1. Corn Leaf Diseases Diagnosis Based on K-Means Clustering and Deep Learning

2. Classification of Corn Leaf Diseases using Various Pre-trained Deep Learning Networks and Performance Comparison

3. Grape Leaf Multi-disease Detection with Confidence Value Using Transfer Learning Integrated to Regions with Convolutional Neural Networks

4. Identification of Foliar Disease Regions on Corn Leaves Using SLIC Segmentation and Deep Learning Under Uniform Background and Field Conditions

5. End-to-End Deep Learning Model for Corn Leaf Disease Classification

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Maize Leaf Disease Recognition Based on Improved Convolutional Neural Network ShuffleNetV2;Plants;2024-06-12

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