A novel deep CNN model with entropy coded sine cosine for corn disease classification-Reference-Cited by-同舟云学术

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A novel deep CNN model with entropy coded sine cosine for corn disease classification

Published:2024-09 Issue:7 Volume:36 Page:102126
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Malik Mehak Mushtaq^ORCID,Fayyaz Abdul Muiz,Yasmin Mussarat,Abdulkadir Said Jadid^ORCID,Al-Selwi Safwan Mahmood^ORCID,Raza Mudassar^ORCID,Waheed Sadia

Funder

Malaysia Ministry of Higher Education

Yayasan Universiti Teknologi PETRONAS

Publisher

Elsevier BV

Reference95 articles.

1. Automatic classification of plants based on their leaves;Aakif;Biosyst. Eng.,2015

2. CAMTAs, a family of calmodulin-binding transcription factors, are versatile regulators of biotic and abiotic stress responses in plants;Abdel-Hameed;Crit. Rev. Plant Sci.,2024

3. Image quality assessment for foliar disease identification (AgroPath);Ahmed,2022

4. OPNN: Optimized probabilistic neural network based automatic detection of maize plant disease detection;Akanksha,2021

5. RNN-LSTM: From applications to modeling techniques and beyond—Systematic review;Al-Selwi;J. King Saud Univ. - Comput. Inf. Sci.,2024

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