Yakui Zhang, Gongyi Li

(Henan Agricultural University)

Abstract：

The construction of big data for the entire agricultural product industry chain is of great significance in accelerating the transformation of agricultural development mode, promoting agricultural transformation and upgrading, improving quality and efficiency, and sustainable development, and accelerating the process of agricultural modernization. The construction of big data for the entire industry chain of important agricultural products in our country has just begun, with a weak foundation for development. In rural areas, the information infrastructure is not sound, the agricultural product processing chain is incomplete, the data resources of the industry chain are scattered, the ability to obtain integrated data from the sky and the earth is weak, and the coverage rate is low. This article takes oilseeds (rapeseed, peanuts) as an example to analyze the current situation of big data construction in the entire industry chain, clarify the ideas and principles of big data platform construction in the oilseed industry chain, propose the basic architecture and main functions of platform construction, and develop integrated meteorological yield prediction models, remote sensing yield prediction models, price monitoring models, policy theme evolution models, and semantic comparative analysis models for oilseed crop yield prediction, price prediction, policy analysis, and other themes, supporting multi scenario data mining and application services. This article explores the construction plan of a demand-oriented oil industry chain big data platform based on big data, natural language processing, and artificial intelligence technology. It supports the aggregation, analysis, and mining of data resources in important areas and key links such as basic environment, resource input, production processing, and circulation consumption. It can effectively enhance the research and application capabilities of digital technology, create a demonstration model for the governance and application of single variety big data in the entire industry chain, provide replicable, referenceable, and promotable mechanisms, models, and experiences for comprehensively promoting the construction of big data in the entire agricultural product industry chain, demonstrate and lead the construction of big data in agriculture and rural areas, thereby promoting the digitalization level of agricultural production, operation, and management services, and promoting the modernization of agriculture and rural areas.

Key Words：

oilseeds; entire industry chain; big data; data platform construction; agricultural big data