Artificial Intelligence-Based Aquaculture System for Optimizing the Quality of Water: A Systematic Analysis

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Detalles Bibliográficos
Publicado en:	Journal of Marine Science and Engineering vol. 12, no. 1 (2024), p. 161
Autor principal:	Capetillo-Contreras, Omar
Otros Autores:	Pérez-Reynoso, Francisco David, Zamora-Antuñano, Marco Antonio, Álvarez-Alvarado, José Manuel, Rodríguez-Reséndiz, Juvenal
Publicado:	MDPI AG
Materias:	Water quality control Food security Sensors World population Image processing Computer vision Environmental impact Quality control Water monitoring Proteins Polyculture (aquaculture) Water quality Fishing Food industry Environmental management Classification Artificial intelligence Engineering Ponds Aquaculture techniques Aquaculture Overexploitation Salinity Fish Methods Trends Fisheries Foods Publications Taxonomy Economic
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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