Abstract:

A data platform serving an agricultural industry value chain can accelerate the transformation of agricultural techniques, promote agricultural upgrades, improve the quality and efficiency and sustainable development, and accelerate the process of agricultural modernization. In China, the construction of such a platform for important agricultural products is still in the early stages and the data foundations are weak, facing challenges such as limited rural information infrastructure, incomplete information about agricultural product processing, data resources fragmented across the industry, and limited data acquisition effectiveness and scope. Taking oil crops (rape, peanut) as an example, this paper analyzes current efforts to construct a data platform for an industry value chain. It applies the concepts and principles of big data platforms in the context of the oil crop industry, and proposes a framework and key functions required of the platform. In addition, this paper also develops a set of models relevant to an agriculture-focused data platform, which support data mining and application services. These include an integrated meteorological yield prediction model, a remote sensing yield prediction model, a price monitoring model, a policy topic evolution model, and a semantic comparative analysis model. This paper then explores the construction scheme of a data platform for the oil crops industry using big data, natural language processing and artificial intelligence technology. This platform supports aggregating, analyzing, and mining important data about the crop growing environment, input resources, production and processing, distribution, and consumption. By collating relevant data resources, the platform can enhance digital technology R&D and application capabilities, simplify data governance, and demonstrate applications for the industry value chain. The paper highlights replicable, accountable and well-established approaches for constructing a comprehensive data platform for an agricultural industry value chain, with the goal of promoting the digitalization of agricultural production, operations and management, and modernization of agricultural and rural areas.

Key words: oil crops, whole industry chain, big data, data platform construction, agricultural big data