Título: Smart sensors for water quality monitoring in aquaculture systems
Resumen: The growing population has provoked the need for alternative food sources, increasing the demand for aquaculture products to supplement wild fishing. Traditional aquaculture has evolved to precision aquaculture, where monitoring water quality is essential to maintain adequate production by keeping toxic substances to a minimum. These substances come from animal or plant excretion or feed residues, which may result in high concentration levels in ponds or tanks, thus causing disease outbreaks and reducing farm productivity. This chapter aims to provide insight into the most recent contributions of artificial intelligence and the Internet of Things to sensing platforms for water quality monitoring in the aquaculture industry. The control of some parameters, such as pH, temperature, electrical conductivity, salinity, and dissolved oxygen, seems adequate nowadays, but there are still some challenges regarding pollutant sensing. Only a few examples of smart sensors for hormones and antimicrobials have been applied to aquaculture. Furthermore, only a few examples of on-site sensors for inexperienced end-users have been developed within this field.
Título del libro: Smart Water Quality Monitoring: artificial intelligence, automation and analytical chemistry
