Development and application of a method to classify airborne pollen taxa concentration using light scattering data
Abstract Although automated pollen monitoring networks using laser optics are well-established in Japan, it is thought that these methods cannot distinguish between pollen counts when evaluating various pollen taxa. However, a method for distinguishing the pollen counts of two pollen taxa was recent...
Enregistré dans:
Auteurs principaux: | Kenji Miki, Toshio Fujita, Norio Sahashi |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/f8fbe71f462b4e9c9cb06bf031db0c87 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Identification of pollen taxa by different microscopy techniques.
par: Matej Pospiech, et autres
Publié: (2021) -
The macroecology of airborne pollen in Australian and New Zealand urban areas.
par: Simon G Haberle, et autres
Publié: (2014) -
Variations in airborne pollen and spores in urban Guangzhou and their relationships with meteorological variables
par: Ananna Rahman, et autres
Publié: (2021) -
Bayesian analysis of static light scattering data for globular proteins.
par: Fan Yin, et autres
Publié: (2021) -
Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins
par: Corbella,Eduardo, et autres
Publié: (2008)