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Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification.
Islam, Md Shofiqul; Sultana, Sunjida; Farid, Fahmid Al; Islam, Md Nahidul; Rashid, Mamunur; Bari, Bifta Sama; Hashim, Noramiza; Husen, Mohd Nizam.
Affiliation
  • Islam MS; Faculty of Computing, Universiti Malaysia Pahang, Kuantan 26300, Pahang, Malaysia.
  • Sultana S; Department of Computer Science and Engineeering, Islamic University, Kushtia 7003, Bangladesh.
  • Farid FA; Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Selangor, Malaysia.
  • Islam MN; Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan 26600, Pahang, Malaysia.
  • Rashid M; Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan 26600, Pahang, Malaysia.
  • Bari BS; Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan 26600, Pahang, Malaysia.
  • Hashim N; Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Selangor, Malaysia.
  • Husen MN; Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur 50250, Selangor, Malaysia.
Sensors (Basel) ; 22(16)2022 Aug 14.
Article in En | MEDLINE | ID: mdl-36015839
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Full text: 1 Database: MEDLINE Main subject: Solanum lycopersicum / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2022 Type: Article Affiliation country: Malaysia
Fulltext
Add to My VHL
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Full text: 1 Database: MEDLINE Main subject: Solanum lycopersicum / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2022 Type: Article Affiliation country: Malaysia