With the introduction and popularization of the concept of smart agriculture, smart agriculture has become the future direction of agricultural development, and how to promote the construction and development of smart agriculture has become the focus of research. At present, many achievements have been made in the systematic framework of smart agriculture, but the measures to promote the construction of smart agriculture from the aspect of agricultural economic management have not been studied in depth. In order to innovate agricultural economic management, promote the construction and development of smart agriculture, and realize the transformation of agriculture, this study proposes to apply big data in the field of agriculture, taking the egg price of a city's wholesale market as the research object, to analyze the influencing factors and price fluctuations of egg price, first mining and analyzing the relevant agricultural big data, and then visualizing the big data, so as to make it relevant scientific basis is provided for the innovative economic management of enterprises. The results show that agricultural big data provides a strong data support for agricultural economic management innovation and makes a great contribution to the construction of smart agriculture.

随着智慧农业概念的引入和普及，智慧农业成为未来农业发展的方向，如何推动智慧农业的建设和发展成为研究的重点。目前，智慧农业的系统框架已经取得不少成果，但从农业经济管理方面推进智慧农业建设的措施还没有深入研究。为创新农业经济管理，推动智慧农业建设发展，实现农业转型，本研究提出将大数据应用于农业领域，以某城市批发市场鸡蛋价格为研究对象。 , 分析鸡蛋价格的影响因素和价格波动，首先对相关农业大数据进行挖掘分析，然后将大数据可视化，为企业创新经济管理提供相关科学依据。结果表明，农业大数据为农业经济管理创新提供了强有力的数据支持，为智慧农业建设做出了巨大贡献。