With the global population growing and wild fisheries nearing saturation, aquaculture has become an important solution to address the shortage of fishery yields. Traditional aquaculture methods, such as pond and cage farming, face challenges like limited land and water resources, as well as labor shortages. Cage farming, which heavily relies on the experience of the operators, increases the risks due to high entry barriers for techniques like feeding and cage management. AIoT (Artificial Intelligence of Things) smart aquaculture solutions have emerged as a key advancement, utilizing AI, IoT, and big data technologies to solve long-standing issues in the industry. By employing sensors, remote operations, and data analytics, these systems provide real-time monitoring of the aquaculture environment and fish behavior, allowing for precise regulation. This approach optimizes aquaculture efficiency, reduces risks, and significantly improves yields.

Here are some of the key applications of AIoT in smart aquaculture:

1. Automatic Cage Submersion System

Cage farming is often affected by rough seas, storms, and other extreme weather conditions, which can cause significant damage to aquaculture facilities. The introduction of an automatic submersion system addresses this major challenge. During extreme weather, operators can remotely adjust the cage depth to avoid the impact of waves, protecting the fish and preventing losses. This system reduces the impact of natural disasters on the aquaculture industry, enhancing production stability.

2. Smart Feeding System

In traditional aquaculture, feeding relied entirely on the experience of the operators, often resulting in overfeeding, which could harm water quality and reduce fish survival rates. With the smart feeding system, operators can monitor fish behavior, such as feeding frenzies and appetite changes, to determine when to activate the feeding system. The system uses image recognition to accurately assess fish behavior and adjust the feeding amounts accordingly. This reduces feed waste, minimizes water contamination, and improves fish survival rates.

3. Smart Water Aeration System

Oxygen levels are crucial for aquaculture pond health. The smart water aeration system monitors water quality in real time, including temperature and dissolved oxygen levels. Based on these parameters, the system automatically activates water pumps to regulate water flow, ensuring that the oxygen content and water quality remain optimal. This not only boosts aquaculture efficiency but also reduces energy consumption, lowering electricity costs.

4. Monitoring and Recognition System

To comprehensively track the condition of farmed fish, modern smart aquaculture systems now incorporate underwater drones and deep-water monitoring technology. These technologies allow real-time monitoring of environmental indicators such as water quality, temperature, pH, and dissolved oxygen levels. Additionally, intelligent recognition systems measure fish size, weight, and health. By using these precise data, operators can immediately assess the health of the fish and adjust farming strategies as needed. This reduces the risks and costs associated with manual underwater inspections while improving farming efficiency.

AIoT smart aquaculture systems are driving the smart transformation of the aquaculture industry. As the global demand for seafood continues to rise, the industry will increasingly rely on data-driven and intelligent management systems. These innovations will not only improve farming efficiency but also help protect marine ecosystems, promoting sustainable development for the future.

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