Early Detection of Fusarium oxysporum Infection in Processing Tomatoes (Solanum lycopersicum) and Pathogen–Soil Interactions Using a Low-Cost Portable Electronic Nose and Machine Learning Modeling

The early detection of pathogen infections in plants has become an important aspect of integrated disease management. Although previous research demonstrated the idea of applying digital technologies to monitor and predict plant health status, there is no effective system for detecting pathogen infe...

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Detalles Bibliográficos
Autores principales: Feng, Hanyue, Gonzalez Viejo, Claudia, Vaghefi, Niloofar, Taylor, Paul W. J., Tongson, Eden, Fuentes, Sigfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693623/
https://www.ncbi.nlm.nih.gov/pubmed/36433241
http://dx.doi.org/10.3390/s22228645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693623/
https://www.ncbi.nlm.nih.gov/pubmed/36433241
http://dx.doi.org/10.3390/s22228645

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