Enhancing Wheat Disease Diagnosis in a Greenhouse Using Image Deep Features and Parallel Feature Fusion

Since the assessment of wheat diseases (e.g., leaf rust and tan spot) via visual observation is subjective and inefficient, this study focused on developing an automatic, objective, and efficient diagnosis approach. For each plant, color, and color-infrared (CIR) images were collected in a paired mo...

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Detalles Bibliográficos
Autores principales: Zhang, Zhao, Flores, Paulo, Friskop, Andrew, Liu, Zhaohui, Igathinathane, C., Han, X., Kim, H. J., Jahan, N., Mathew, J., Shreya, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965652/
https://www.ncbi.nlm.nih.gov/pubmed/35371139
http://dx.doi.org/10.3389/fpls.2022.834447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965652/
https://www.ncbi.nlm.nih.gov/pubmed/35371139
http://dx.doi.org/10.3389/fpls.2022.834447

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