The characteristics and applications of agricultural big data are introduced as follows:

The characteristics of agricultural big data satisfy the five characteristics of big data, which are, firstly, large volume of data (Volume), secondly, fast processing speed (Velocity), thirdly, many data types (Variety), fourthly, large value (Value), and fifthly, high High accuracy (Veracity). Including the following:

(1) From the field point of view, the agricultural field as the core (covering planting, forestry, animal husbandry and other sub-industries), gradually expanding to the relevant upstream and downstream industries (feed production, fertilizer production, production of agricultural machinery, slaughtering, meat processing industry, etc.), and integrating the macro-economic background of the data, including statistical data, import and export data, price data, production data, and even meteorological data. data and even meteorological data, etc. (2) From the geographical point of view, taking the domestic regional data as the core, and drawing on the international agricultural data as an effective reference;

Not only including the national level data, but also covering the provincial and municipal data, and even the data at the prefecture level, to provide the basis for accurate regional research; (3) From the point of view of the granularity, not only the statistical data should be included, but also basic information on the economic entities involved in agriculture, investment information, shareholders' information, patents, imports and exports, recruitment information, media, and so on. information, import and export information, recruitment information, media information, GIS coordinate information and so on.

(4) From the point of view of specialization, it should be implemented step by step, first of all, it is to build the professional data resources in the field of agriculture, and secondly, it should gradually and orderly plan the professional data resources in the sub-fields, such as the professional monitoring data for the livestock breeds of hogs, broiler chickens, egg-laying chickens, beef cows, dairy cows, and meat goats, and so on.