Search

In view of the problems such as frequent fluctuation of garlic price, lack of efficient forecasting means and difficulty in realizing the steady development of garlic industry, combined with the current situation of garlic industry and the collected data information. Taking Big Data platform of garlic industry chain as the core, using the methods of correlation analysis, smoothness test, co-integration test, and Granger causality test, this paper analyzes the correlation, dynamic, and causality between garlic price and young garlic shoot price. According to the current situation of garlic industry, the garlic industry service based on Big Data is put forward. It is concluded that there is a positive correlation between garlic price and young garlic shoot price, and there is a long-term stable dynamic equilibrium relationship between young garlic shoot price and garlic price fluctuation, and young garlic shoot price can affect garlic price. Finally, it is proposed to strengthen the infrastructure construction of garlic Big Data, increase the technological innovation and application of garlic Big Data technology, and promote the safety and security ability of the whole industry to promote the development of garlic industry.

In order to effectively solve the problems which affect the stable and healthy development of garlic industry, such as the uncertainty of the planting scale and production data, the influence factors of price fluctuation is difficult to be accurately analyzed, the difficult to predict the trend of price change, the uncertainty of the market concentration, and the difficulty of the short-term price prediction etc., the big data platform of the garlic industry chain has been developed. Combined with a variety of data acquisition technology, the information collection of influencing factors for garlic industry chain is realized. Based on the construction of the big data technology platform, the real-time synchronous acquisition, efficient storage and analysis of the planting, market, storage, processing, export and logistics information in five provinces and seven counties are realized. The application of the big data platform for garlic industry chain has realized the accurate acquisition of garlic planting area, the price and trend of market circulation and the information of export information, analyzed the fluctuation regulation of garlic price, and also realized the short-term precision prediction of garlic price.

To explore the conducive to China’s agricultural science and technology park of input and output of the related strategy and promote agricultural supply side structural reform in China, we use cobb-douglas production function model, combined with stepwise regression and principal component regression method, the analysis of 2015–2017 China national agricultural science and technology park enterprise data. We summarized the relationship between the input and output by cobb-douglas production function. The investment of labor force and capital investment and the annual output value were positive correlation, but the elasticity coefficient of labor input three years to show the trend of increasing year by year. Elasticity coefficient of capital in three years presents a decreasing trend year by year. By stepwise regression and principal component regression method, you can see that is not the total amount of investment. The greater the output, the more technology innovation factors will become the future main factors influencing the development of the national agricultural science and technology park. Therefore, China should strengthen agricultural science and technology innovation, cultivate agricultural science and technology talents. Develop agricultural science and technology innovation projects, so as to promote China’s agricultural supply-side structural reform.

In response to the increasing food safety problems of the meat product in the industry chain of livestock and poultry, and the actual demand of enterprises and consumers, combining the development status of the enterprises, considering the safety factors of animal breeding and product processing, this paper designed a food safety traceability system, based on modern internet of things technologies such as RFID, QR code, sensor technology and wireless communication technology, of which the traceability information covers all links of the whole industry chain. Compared with other traceability systems, the system in this paper has improved greatly in terms of its breadth, depth, and accuracy, which is an effective way to solve the food safety problem. The system provides the customers, enterprises, and the government department with multi-channel information traceability service, which has the real significance of the reduction food safety risk and improvement of recall efficiency of defective products.

In response to various problems existing in the current duck product industry chain. For example, decentralized of the industry chain, lack of data exchange between each link, lack of unified information collection equipment, and so on. An intelligent information management platform for duck product chain was developed, based on the specific needs of each link of the duck and poultry industrial chain. The platform is mainly composed of the information collection equipment and the intelligent management systems. The information acquisition equipment comprehensively uses the current well-perceived and reliable transmission technology of the Internet of Things to achieve the seamless collection of information in each link of the duck product industry chain and the seamless convergence of information in each link. The intelligent management system utilizes big data analysis technology to realize internal automation and digital management. The long-term test of the system shows that the data in each link of the system seamlessly connects. The data collected by the system is accurate and reliable. Its operation is simple and convenient. The system is highly scalable and suitable for use in production.