Unlocking the Potential: Artificial Intelligence Applications in Aquaculture Greenhouse Development DOI Creative Commons
Einar Ringø, Amr M. Helal,

Ehab El-Haron

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Aquaculture plays a significant role in the expanding agricultural sector, with historical challenges stemming from experimental limitations. Upholding ecological balance and water quality improvements stands as pivotal factor bolstering efficiency sustainability of aquaculture production. Notably, greenhouse setups have addressed various environmental concerns, boosting productivity sustainability. The ongoing advancement science technology has ushered new era aquaculture, marked by integration Artificial Intelligence (AI) digitalization. AI represents fascinating powerful machine learning-based techniques for solving many real-world problems. To regulate is used to assess sensor data real time using sophisticated algorithms, allowing proactive adjustments maintain ideal conditions. Likewise, essential disease identification since it uses Internet Things (IoT) learning (ML) models identify subtle patterns fish behavior or health parameters, facilitating early intervention mitigation strategies. This book chapter overviews transformative potential applications development systems, including monitoring, feed management, detection, predictive analytics, collection, model development, ethical considerations. By unlocking AI, can benefit increased productivity, reduced impact, enhanced

Language: Английский

The nexus of IoT and aquaculture: A bibliometric analysis DOI Creative Commons

Abderahman Rejeb,

Karim Rejeb, John G. Keogh

et al.

Applied Food Research, Journal Year: 2025, Volume and Issue: unknown, P. 100838 - 100838

Published: March 1, 2025

Language: Английский

Citations

1

Relation among zootechnical performance, biochemical indicators, water quality, and small invertebrates (zooplankton) abundance reared in biofloc-supplemented systems DOI Creative Commons
Ahmed Said Al-Souti,

Marwa M. Zaher,

Amr M. Helal

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 27, 2025

The present study was conducted to investigate the interaction of biofloc water supplementations and potential zooplankton abundance structure in Nile tilapia Oreochromis niloticus -rearing systems on zootechnical performance biochemical indicators. juveniles (13.30 g 9.50 cm) were randomly distributed into 18 fiberglass tanks (500 L/tank with a stocking density 40 fish/tank) start feeding experiment for 60 days. Fish weights recorded weekly adjust rate at 3% their biomass using commercial diet. Compared control group (T 0 , zero supplementation), influence five supplementation levels applied as follows: 14.2, 28.4, 42.6, 56.8, 71 L −1 1 T 2 3 4 5 respectively). prepared an external fermentor tank (300 L) added fish keep constant during experiment. After 30 days experiment, number 46,501 24,537 Ind. respectively, which included four families (Rotifera, Copepoda, Cladocera, free-living nematodes) domination family Rotifera 81.65% 93.89%, respectively. quality indicated within standard values recommended culture. those group, growth performance, whole-body composition, blood indicators significantly higher groups than group. Group achieved highest significant values. In comparison lowest cultures small invertebrate prey after reared showed urea content concentrations liver function enzyme activities. Interestingly, compared all groups, best feed conversion ratio (FCR) value (1.68). Principal component analysis (PCA) Pearson’s correlation coefficient confidence (PCCC) clarified close positive relationship between total individual, abundance, FCR. PCCC (0.947). conclusion, (42.6 ) sustainable clean aquadiet strategy improved FCR regard culture invertebrates

Language: Английский

Citations

0

Unlocking the Potential: Artificial Intelligence Applications in Aquaculture Greenhouse Development DOI Creative Commons
Einar Ringø, Amr M. Helal,

Ehab El-Haron

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Aquaculture plays a significant role in the expanding agricultural sector, with historical challenges stemming from experimental limitations. Upholding ecological balance and water quality improvements stands as pivotal factor bolstering efficiency sustainability of aquaculture production. Notably, greenhouse setups have addressed various environmental concerns, boosting productivity sustainability. The ongoing advancement science technology has ushered new era aquaculture, marked by integration Artificial Intelligence (AI) digitalization. AI represents fascinating powerful machine learning-based techniques for solving many real-world problems. To regulate is used to assess sensor data real time using sophisticated algorithms, allowing proactive adjustments maintain ideal conditions. Likewise, essential disease identification since it uses Internet Things (IoT) learning (ML) models identify subtle patterns fish behavior or health parameters, facilitating early intervention mitigation strategies. This book chapter overviews transformative potential applications development systems, including monitoring, feed management, detection, predictive analytics, collection, model development, ethical considerations. By unlocking AI, can benefit increased productivity, reduced impact, enhanced

Language: Английский

Citations

0