首页> Scientific reports> Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification.

Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification.

导出 LinkOut

翻译打印收藏纠错

第一作者： Bodruzzaman,Khan

第一单位： Department of Agricultural Construction and Environmental Engineering, Sylhet Agricultural University, Sylhet, 3100, Bangladesh. bodruzzamankhan.sau@gmail.com.

作者： Bodruzzaman,Khan ^[1] ; Subhabrata,Das ^[2] ; Nafis Shahid,Fahim ^[3] ; Santanu,Banerjee ^[4] ; Salma,Khan ^[5] ; Mohammad Khalid,Al-Sadoon ^[6] ; Hamad S,Al-Otaibi ^[6] ; Abu Reza Md Towfiqul,Islam ^[7]

作者单位： Department of Agricultural Construction and Environmental Engineering, Sylhet Agricultural University, Sylhet, 3100, Bangladesh. bodruzzamankhan.sau@gmail.com. ^[1] Langmuir Center of Colloids and Interfaces, Columbia University in the City of New York, New York, USA. ^[2] Department of Agricultural Construction and Environmental Engineering, Sylhet Agricultural University, Sylhet, 3100, Bangladesh. ^[3] Department of Agriculture, Chhatrapati Shahu Ji Maharaj University, Kanpur, Uttar Pradesh, 208012, India. ^[4] Institute of Leather Engineering and Technology, University of Dhaka, Dhaka, 1209, Bangladesh. ^[5] Department of Zoology, College of Science, King Saud University, PO Box 2455, Riyadh 11451, Saudi Arabia. ^[6] Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh. towfiq_dm@brur.ac.bd.;Department of Development Studies, Daffodil International University, Dhaka, 1216, Bangladesh. towfiq_dm@brur.ac.bd. ^[7]

关键词 Bayesian optimization Boruta CNN Deep learning Hybrid learning Machine learning Tomato leaf disease Tree-structured Parzen Estimator

医学主题词贝叶斯定理(Bayes Theorem);植物疾病(Plant Diseases);植物叶(Plant Leaves);算法(Algorithms)

DOI 10.1038/s41598-024-72237-x

PMID 39277634

发布时间 2024-09-18

基金项目

RSP2023R410/King Saud University

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交