There is a certain similarity between the breeding industry and agricultural planting. The main expenditure cost is manpower. The current status of the aquaculture industry is inadequate in management and other aspects. There is still a long way to go from smart breeding with high technology, low labor, high productivity, and low consumption. .
With the continuous progress and development of the Internet of Things technology, the current dilemma of the aquaculture industry cannot be solved by single-handed farmers. It requires a large amount of capital and technology investment to achieve large-scale and intensive management and improve food quality.
Now many food giants are basically adopting the whole industry chain development model in China, which implies huge business opportunities. With the continuous popularization of smart farming models, the adoption of a new smart farming management system can better monitor and supervise farming.
The concept of smart farming is to use scientific methods to manage farming and improve the safety of food from the source. The smart farming management system combines the Internet of Things technology with the farming industry, and uses network transmission technology to satisfy the farmers' monitoring and management of the farming environment. Demand.
The intelligent breeding management system collects online farm environment information through intelligent IoT sensors, including co2 sensors [https://www.renkeer.com/product/co2-sensor/], ammonia sensors [https://www.renkeer.com/product/ammonia-sensor/], hydrogen sulfide sensors, air temperature and humidity sensors, etc., and at the same time links multiple control equipment of the farm environment, one-key remote management, Realize intelligent production and scientific management.
Managers can use mobile apps, computers and other terminal equipment to grasp the environmental information of the farm in real time, check the activity status of poultry and livestock at any time, obtain abnormal alarm information at the first time, and remotely control the equipment to achieve scientific breeding, cost reduction, energy saving and consumption reduction. Purpose.
On the contrary, it is a challenge for farmers. First, they need to adapt to the development speed of digital farming. At the same time, the remaining time can also be used to improve the knowledge of learning and mastering farming knowledge and the operation of intelligent farming management system. Expanding the scale of farming will bring large-scale farming The advantages of the company are brought into full play.
For aquaculture feed manufacturers, slaughter and processing plants and other upstream and downstream companies, they are about to face the challenge of product upgrades. All kinds of equipment required for aquaculture need to adapt to the upgrade of smart breeding management and better apply to management systems. For processing manufacturers In terms of food safety, food safety may no longer be a problem, because the information and data of the entire livestock's growth status can be queried with one key, such as the number of ventilations during the growth, and the intensity of light intensity.
For smart breeding manufacturers, it is necessary to continuously improve functions and applications according to specific breeding needs to meet user needs and improve service quality.
The emergence of the intelligent breeding management system is the product upgrade of the breeding industry, leading the breeding industry to large-scale and digital production. It is a large case of the application of the Internet of Things technology and a test of technology and service life.