- Tytuł:
-
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 - Autorzy:
- Temat:
-
collar and root rot
soilborne pathogens
yield decline
volatile compoundsplant disease modeling
artificial neural networks
Chemical technology
TP1-1185 - Źródło:
- Sensors, Vol 22, Iss 22, p 8645 (2022)
- Opis pliku:
- electronic resource
- Relacje:
- https://www.mdpi.com/1424-8220/22/22/8645; https://doaj.org/toc/1424-8220
- Dostęp URL:
- https://doaj.org/article/60aa1137c6f040c198864e2352072075  Link otwiera się w nowym oknie
Czasopismo naukowe