Cargando…
Early Detection of Stripe Rust in Winter Wheat Using Deep Residual Neural Networks
Stripe rust (Pst) is a major disease of wheat crops leading untreated to severe yield losses. The use of fungicides is often essential to control Pst when sudden outbreaks are imminent. Sensors capable of detecting Pst in wheat crops could optimize the use of fungicides and improve disease monitorin...
Autores principales: | Schirrmann, Michael, Landwehr, Niels, Giebel, Antje, Garz, Andreas, Dammer, Karl-Heinz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042394/ https://www.ncbi.nlm.nih.gov/pubmed/33859655 http://dx.doi.org/10.3389/fpls.2021.469689 |
Ejemplares similares
-
Genomic signatures of selection for resistance to stripe rust in Austrian winter wheat
por: Morales, Laura, et al.
Publicado: (2021) -
Role of Fungicide Applications on the Integrated Management of Wheat Stripe Rust
por: Carmona, Marcelo, et al.
Publicado: (2020) -
Severity assessment of wheat stripe rust based on machine learning
por: Jiang, Qian, et al.
Publicado: (2023) -
Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices
por: Mi, Zhiwen, et al.
Publicado: (2020) -
Identification and Characterization of Resistance Loci to Wheat Leaf Rust and Stripe Rust in Afghan Landrace “KU3067”
por: Zhang, Peipei, et al.
Publicado: (2022)