The continuous development and maturity of artificial intelligence technology has made its application in various industries more rich and deep. In the aquaculture industry, this is no exception. In the highly informatized modern smart aquaculture model, artificial intelligence technology can be applied to aquaculture biometrics and counting, aquaculture biological health status diagnosis, breeding environment monitoring and many other aspects.
Litu Hi-Tech Aquaculture Artificial Intelligence Algorithm Model
1. Aquaculture biometrics and counting
Based on the monitoring image data of the aquaculture environment, the smart aquaculture system can use artificial intelligence technology to intelligently identify the species and quantities of organisms raised in the aquaculture environment. This can greatly reduce manual intervention, not only save labor costs, but also reduce manual statistical errors to improve breeding efficiency and production quality.
Intelligent identification of species and quantities of farmed organisms
2. Diagnosis of health status of breeding organisms
Based on the aquatic disease characteristics data and the monitoring image data of the aquaculture environment in the large database of aquaculture diseases, the smart aquaculture system can use artificial intelligence technology to intelligently identify whether the farmed organisms are injured or sick, and send alerts to the management personnel in time through SMS, telephone and other means when the situation is found to be abnormal. This significantly reduces the chance of outbreaks of aquatic diseases and reduces the risk of farming.
Artificial intelligence identifies the lesions of farmed fish
3. Monitoring and early warning of breeding environment
Based on the data obtained by real-time monitoring of the aquaculture environment by the water quality monitor, the intelligent aquaculture system can use artificial intelligence technology to intelligently determine whether the current breeding environment is suitable for the growth of the raised organisms. When abnormal aquaculture water quality is detected, the system will also send an alert to the manager. This ensures that farmed organisms are always in the optimal growing environment, which can effectively shorten their growth cycle and improve the quality of the aquatic products obtained.
Smart aquaculture monitoring and early warning system
The in-depth application of artificial intelligence technology in the aquaculture industry can effectively reduce the cost of aquaculture, ensure the safety of aquaculture, and help aquaculture enterprises achieve cost reduction and efficiency increase. The new model of smart aquaculture based on artificial intelligence technology is also the future development trend of the aquaculture industry. The Litu high-tech team has been deeply engaged in the field of smart aquaculture for many years, and has independently developed more than 30 kinds of artificial intelligence algorithm models, such as intelligent feeding model for bait, intelligent diagnosis model for breeding diseases, and intelligent evaluation model for breeding environment, which can adapt to various breeding scenarios to help aquaculture enterprises greatly reduce breeding costs and risks and improve breeding efficiency. Interested parties are welcome to leave a message for details.