A Novel Process-Based Digital Twin for Intelligent Fish Feeding Management Using Multi-Mode Sensors and Smart Feeding Machine

Published: Jan. 11, 2024

The utilization of smart IoT devices, commonly referred to as digital twins, is aimed at the digitalization human knowledge within aquaculture processes. This involves incorporation cutting-edge technologies, including information-based management with big data and modeling, automate machinery gain comprehensive insights into environment fish farm conditions. ultimate objective empower farmers make informed decisions, furnishing them enhance their capacity in monitoring controlling various factors impacting production. As a result, farming decisions can be fine-tuned health optimize output. In context large modern farms, technological innovation becomes imperative processes, minimize labor requirements, streamline feeding operations. Remarkably, literature currently offers limited discussions on transformation through application twin methodologies. A prior study underscores critical influence such market prices survival rates profitability offshore caging culture. this study, we embark an analysis prerequisites for establishing infrastructure tailored intelligent management. designed facilitate integration technology data-driven decision-making, ultimately enhancing efficiency proposed architecture encompasses components, encompassing water quality forecasting, population assessment, metrics estimation, feed prediction, evaluation intensity. Furthermore, daily process reinforcement learning algorithms. Finally, implement cloud-based AIoT system that provides runtime executing twins our machinery. Experimental findings underscore efficacy significantly improving traditional notably terms reducing food costs requirements.

Language: Английский

---

Advancing aquaculture biosecurity: a scientometric analysis and future outlook for disease prevention and environmental sustainability

Aquaculture International, Journal Year: 2024, Volume and Issue: 32(7), P. 8763 - 8789

Published: July 3, 2024

Abstract Biosecurity plans are crucial for preventing economic and environmental impacts caused by disease outbreaks in aquaculture. These focus on prevention, early detection, effective control measures. With the global threat of emerging infectious diseases need sustainable production practices, importance biosecurity continues to grow. Scientometric analysis is a valuable tool assessing impact influence scientific research within particular field or discipline. aquaculture publications reveals significant activity field, with highest number recorded 2021. Cottier-Cook EJ emerged as most prolific author, while USA Centre Environment Fisheries Aquaculture Science were identified leading contributors. Physical measures prevent entry pathogens wild fish into systems. Biological enhance immunity reduce risks. Operational measures, such feed management hygiene protocols, maintain animal health. Innovative technologies sensors artificial intelligence improve efficiency. Effective requires coordination, risk assessment, established response plans. offers benefits protection, food safety, but may have disadvantages including costs negative impacts. The industry should implementing improving reducing impact, ensuring product safety quality.

Language: Английский

---

A Visual Servoing Scheme for Autonomous Aquaculture Net Pens Inspection Using ROV

Sensors, Journal Year: 2022, Volume and Issue: 22(9), P. 3525 - 3525

Published: May 5, 2022

Aquaculture net pens inspection and monitoring are important to ensure stability fish health in the farms. Remotely operated vehicles (ROVs) offer a low-cost sophisticated solution for regular of underwater due their ability visual sensing autonomy challenging dynamic aquaculture environment. In this paper, we report integration an ROV with servoing scheme tracking pens. We propose vision-based positioning that consists object detector, pose generator, closed-loop controller. The system employs modular approach first utilizes two easily identifiable parallel ropes attached image processing through traditional computer vision methods. Second, reference positions relative plane extracted on basis triangulation method. Third, control law is employed instruct vehicle traverse from top bottom along inspect its status. proposed has been implemented tested both simulations field experiments. extensive experimental results have allowed assessment performance resulted satisfactorily can supplement systems.

Language: Английский

---

Robotics for Sea-Based Fish Farming

Springer eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 20

Published: Jan. 1, 2023

Language: Английский

---

UAV Platforms for Data Acquisition and Intervention Practices in Forestry: Towards More Intelligent Applications

Aerospace, Journal Year: 2023, Volume and Issue: 10(3), P. 317 - 317

Published: March 22, 2023

Unmanned air vehicle (UAV) systems for performing forestry applications have expanded in recent decades and great economic benefits. They are validated to be more appealing than traditional platforms various aspects, such as repeat rate, spatial resolution, accuracy. This paper consolidates the state-of-the-art unmanned field with a major focus on UAV heterogeneous platforms, which applied variety of applications, wood production, tree quantification, disease control, wildfire management, wildlife conservation, species classification, etc. review also studies practical under multiple environments, including wild managed forests, grassland, urban green parks, stockyards. Special forest environments terrains present customized demands systems. The challenges deployment analyzed from environmental characterization, maneuverability mobility improvement, global regulatory interpretation. To better apply into forestry, future directions terms enhancement sensory adaption, need further developed synchronizing all possible agents automatic functioning exploration.

Language: Английский

---