Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification

Automatic leaf disease detection techniques are effective for reducing the time-consuming effort of monitoring large crop farms and early identification of disease symptoms of plant leaves. Although crop tomatoes are seen to be susceptible to a variety of diseases that can reduce the production of t...

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Detalles Bibliográficos
Autores principales: Islam, Md Shofiqul, Sultana, Sunjida, Farid, Fahmid Al, Islam, Md Nahidul, Rashid, Mamunur, Bari, Bifta Sama, Hashim, Noramiza, Husen, Mohd Nizam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414454/
https://www.ncbi.nlm.nih.gov/pubmed/36015839
http://dx.doi.org/10.3390/s22166079

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414454/
https://www.ncbi.nlm.nih.gov/pubmed/36015839
http://dx.doi.org/10.3390/s22166079

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