Overview of aquaculture Artificial Intelligence (AAI) applications: enhance sustainability and productivity, reduce labor costs, and increase the quality of aquatic products

Annals of Animal Science, Год журнала: 2024, Номер unknown

Опубликована: Авг. 29, 2024

Abstract The current work investigates the prospective applications of Artificial Intelligence (AI) in aquaculture industry. AI depends on collecting, validating, and analyzing data from several aspects using sensor readings, feeding sheets. is an essential tool that can monitor fish behavior increase resilience quality seafood products. Furthermore, algorithms early detect potential pathogen infections disease outbreaks, allowing stakeholders to take timely preventive measures subsequently make proper decision appropriate time. predict ecological conditions should help farmers adopt strategies plans avoid negative impacts farms create easy safe environment for production. In addition, aids analyze collect regarding nutritional requirements, nutrient availability, price could adjust modify their diets optimize feed formulations. Thus, reduce labor costs, aquatic animal’s growth, health, formulation waste output detection outbreaks. Overall, this review highlights importance achieve sustainability boost net profits

Язык: Английский

---

An Evaluation of AI-Driven Data Mining Techniques for Large-Scale Data Processing

Опубликована: Дек. 29, 2023

Information mining and synthetic intelligence (AI) have gained a lot interest in recent years the discipline of large-scale statistics processing. AI-driven strategies are especially effective for identifying beneficial styles functions huge datasets. This paper presents an assessment several typically used AI-pushed information techniques processing big datasets compares their performance phrases pace, accuracy, scalability. Not unusual algorithms including precept component evaluation clustering analysis evaluated comparison to advances records which includes deep mastering associative mining. The overall every technique is measured throughout 3 categories: speed, effects show that learning outperform conventional terms accuracy scalability whilst they're fairly slower than other techniques. Therefore, these can be more suitable positive types massive-scale tasks require excessive

Язык: Английский

---

Precision Farming in Aquaculture: Use of a Non-Invasive, Ai-Powered Real-Time Automated Behavioural Monitoring Approach to Predict Gill Health and Improve Welfare in Atlantic Salmon (Salmo Salar) Aquaculture Farms

Опубликована: Янв. 1, 2024

Язык: Английский

---

Deploying AI for Health Monitoring of Diadema Sea Urchins: Toward Sustainable Marine Ecosystems

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 651 - 660

Опубликована: Янв. 1, 2024

Язык: Английский

---