Gaussian Distribution Model for Detecting Dangerous Operating Conditions in Industrial Fish Farming
The development of better monitoring technologies, the early combat of outbreaks, massive mortality, and promoting sustainability are challenges that the aquaculture industry still faces, and the development of solutions for this is an open problem. In this paper, focusing our attention on monitorin...
Main Authors: | Luís Cicero Bezerra da Silva, Bruna Daniela Mendes Lopes, Isidro Manuel Blanquet, Carlos Alberto Ferreira Marques |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/13/5875 |
Similar Items
-
Reducing the Complexity of Musculoskeletal Models Using Gaussian Process Emulators
by: Ivan Benemerito, et al.
Published: (2022-12-01) -
Prospects for the development of commercial fish farming in the South of Russia
by: Matishov Gennady, et al.
Published: (2023-01-01) -
Gaussian Parameters Correlate with the Spread of COVID-19 Pandemic: The Italian Case
by: Carmelo Corsaro, et al.
Published: (2021-06-01) -
Development and Application of a Mechanistic Nutrient-Based Model for Precision Fish Farming
by: Filipe M. R. C. Soares, et al.
Published: (2023-02-01) -
Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics
by: Arbabi, Hassan, et al.
Published: (2024)