Overview of the plan

This scheme is a new fish pond management model based on high-tech information technologies such as artificial intelligence, big data, and digital twins. Real time collection of water environment data, analysis of fish fry status, and fine management and regulation of fish ponds can be carried out to ensure water environment quality and improve aquaculture yield.

Scheme composition

The plan mainly includes two parts: intelligent hardware and software system. Intelligent hardware includes water quality monitoring devices, automatic feeding machines, circulating water pumps, automatic aerators, cameras, etc.
The software system mainly includes intelligent fish pond environment monitoring system, intelligent aquaculture control system, intelligent fish pond comprehensive management system, etc.
By constructing an integrated station building on the shore or directly installing sensor devices in the water, it is possible to achieve monitoring of water temperature in fish ponds pH、 Real time online monitoring of dissolved oxygen, ammonia nitrogen, nitrite, residual chlorine, hydrogen sulfide and other factors, dynamically sensing the growth environment of fish fry, providing accurate data support for fish pond owners and regulatory units.

Program features

1. Reduce manpower and material resources investment, lower production and breeding risks: adopt fully automated production supervision, hardware equipment does not require frequent maintenance by personnel, significantly reducing on-site operation time. Based on platform visualization display, it can remotely perceive the status of water bodies and fish fry, in order to respond in a timely manner and effectively curb the occurrence of emergencies. Compared to traditional construction methods, this plan can reduce manpower and material resources by 10% and lower production and breeding risks by 50%.
2. Improving the aquaculture environment in fish ponds and enhancing regional economic competitiveness: Through intelligent sensors, continuous monitoring data of fish pond water quality can be obtained, with high accuracy and strong anti-interference ability. It can achieve comprehensive monitoring of fish ponds and reflect the current status and changing trends of water bodies and fish fry, providing reliable technical support for monitoring, management, planning, and ecological improvement of fish ponds, thereby achieving high and stable production, with an expected increase in output value of 15%.