Cargando…
Predicting Marian Plum Fruit Quality without Environmental Condition Impact by Handheld Visible–Near-Infrared Spectroscopy
[Image: see text] Handheld near-infrared spectroscopy was used to study the effect of integration time and wavelength selection on predicting marian plum quality including soluble solids content (SSC), the potential of hydrogen ion (pH), and titratable acidity (TA). For measurements representing act...
Autores principales: | Posom, Jetsada, Klaprachan, Junjira, Rattanasopa, Kamonpan, Sirisomboon, Panmanas, Saengprachatanarug, Khwantri, Wongpichet, Seree |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643141/ https://www.ncbi.nlm.nih.gov/pubmed/33163774 http://dx.doi.org/10.1021/acsomega.0c03203 |
Ejemplares similares
-
Modified specific gravity method for estimation of starch content and dry matter in cassava
por: Maraphum, Kanvisit, et al.
Publicado: (2021) -
Application of thermal imaging combined with machine learning for detecting the deterioration of the cassava root
por: Posom, Jetsada, et al.
Publicado: (2023) -
A Geographical Origin Classification of Durian (cv. Monthong) Using Near-Infrared Diffuse Reflectance Spectroscopy
por: Chanachot, Kingdow, et al.
Publicado: (2023) -
A new creep model for studying the non-linear viscoelastic behavior of cooked white, brown and germinated brown Thai jasmine rice by large deformation testing
por: Sirisomboon, Panmanas, et al.
Publicado: (2018) -
Comparing Machine Learning and PLSDA Algorithms for Durian Pulp Classification Using Inline NIR Spectra
por: Pokhrel, Dharma Raj, et al.
Publicado: (2023)