Cargando…
Estimating the Moisture Ratio Model of Cantaloupe Slices by Maximum Likelihood Principle-Based Algorithms
As an agricultural plant, the cantaloupe contains rich nutrition and high moisture content. In this paper, the estimation problem of the moisture ratio model during a cantaloupe microwave drying process was considered. First of all, an image processing-based cantaloupe drying system was designed and...
Autores principales: | Zhu, Guanyu, Raghavan, G. S. V., Li, Zhenfeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959644/ https://www.ncbi.nlm.nih.gov/pubmed/36840289 http://dx.doi.org/10.3390/plants12040941 |
Ejemplares similares
-
Online Machine Vision-Based Modeling during Cantaloupe Microwave Drying Utilizing Extreme Learning Machine and Artificial Neural Network
por: Zhu, Guanyu, et al.
Publicado: (2023) -
Predicting the Moisture Ratio of a Hami Melon Drying Process Using Image Processing Technology
por: Zhu, Guanyu, et al.
Publicado: (2023) -
Maximum Penalized Likelihood Estimation
por: LaRiccia, Vincent N, et al.
Publicado: (2009) -
Restricted maximum likelihood estimation for animal models using derivatives of the likelihood
por: Meyer, K, et al.
Publicado: (1996) -
A Monte-Carlo algorithm for maximum likelihood estimation of variance components
por: Xu, S, et al.
Publicado: (1996)