Agricultural machinery operation supply and demand information matching method and apparatus

Abstract

The invention discloses an agricultural machinery operation supply and demand information matching method and apparatus. The method includes the following steps that: a geographical location-based operation destination is determined; agricultural machinery demand information related to the operation destination is determined; the quantity of agricultural machinery related to the agricultural machinery demand information is determined; and demanded agricultural machinery is obtained through matching based on the quantity of the agricultural machinery and the agricultural machinery demand information. According to the agricultural machinery operation supply and demand information matching method and apparatus of the invention, based on the principle of the sharing economy theory, information communication, matching and realization are directly performed between a service provider owning the agricultural machinery and a demand side, and therefore, the utilization rate of the agricultural machinery is greatly improved, the popularization of agricultural mechanized operation is enhanced, the labor intensity of agricultural workers is decreased, the yield and planting area of crops can be increased, and the economic efficiency of an entire agro-ecosystem can be greatly prompted.

Description

technical field [0001] The invention relates to the field of agricultural machinery, in particular to a method and equipment for matching supply and demand information of agricultural machinery operations. Background technique [0002] Agricultural machinery refers to various machinery used in crop planting and animal husbandry production, as well as in the primary processing and handling of agricultural and animal products. Agricultural machinery includes agricultural power machinery, farmland construction machinery, soil tillage machinery, planting and fertilization machinery, plant protection machinery, farmland drainage and irrigation machinery, crop harvesting machinery, agricultural product processing machinery, animal husbandry machinery and agricultural transportation machinery, etc. [0003] Looking at the demand and current situation of agricultural machinery in rural areas, there are mainly the following characteristics: [0004] 1) Rural areas have great potenti...

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Problems solved by technology

[0005] 2) Differences and levels of purchase of agricultural machinery in rural areas are prominent

[0007] Second, even in rural areas, different farmers in the same area have different levels of wealth, so there are differences when purchasing agricultural machinery

[0020] The essence of big data refers to not only the huge amount of data, but also the characteristics of complex structure and diverse data types, especially the huge application value contained in it. This kind of data is difficult to process and apply relying on traditional technology.

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