Machine Learning-Based Presymptomatic Detection of Rice Sheath Blight Using Spectral Profiles

Early detection of plant diseases, prior to symptom development, can allow for targeted and more proactive disease management. The objective of this study was to evaluate the use of near-infrared (NIR) spectroscopy combined with machine learning for early detection of rice sheath blight (ShB), cause...

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Detalles Bibliográficos
Autores principales: Conrad, Anna O., Li, Wei, Lee, Da-Young, Wang, Guo-Liang, Rodriguez-Saona, Luis, Bonello, Pierluigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706329/
https://www.ncbi.nlm.nih.gov/pubmed/33313566
http://dx.doi.org/10.34133/2020/8954085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706329/
https://www.ncbi.nlm.nih.gov/pubmed/33313566
http://dx.doi.org/10.34133/2020/8954085

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