The main features of intelligent animal husbandry include:
1. Intelligent data collection. Through the use of Internet of Things, cloud computing, big data and other technologies, real-time quantitative collection and analysis of data on temperature, humidity, gas concentration, feed supply, animal growth, disease prevention and other aspects of livestock and poultry production, forming visualized monitoring data.
2. Fine management. According to the results of data analysis, the breeding environment, feed ratios, production processes, etc. to carry out refined management, to achieve the optimization of the breeding environment and the precise regulation of animal growth, but also to timely find and deal with the problems that appear.
3. Intelligent decision-making. Based on the data generated, the use of artificial intelligence technology and decision support systems, predictive analysis, risk assessment, optimization of the formulation of strategies and other aspects of the proposal to optimize production, to assist operators in strategic decision-making.
The implementation of intelligent animal husbandry can reduce breeding costs, improve production and quality, and reduce environmental pollution, which is very important for promoting the sustainable development of animal husbandry and supplementing safe, high-quality and high-quality livestock products.