Searching method for agriculture electronic goods

Abstract

The invention discloses a searching method for agriculture electronic goods. The searching method includes the following steps that crops are classified, and the top-level classification is formed; the agriculture production means electronic goods of the crops are classified, and the second-level classification is formed; keywords of the crops are received and serve as the first keywords; the top-level classification is searched for the crops relevant to the first keywords, and the crops which are searched for are selected as the top-level classification crops; keywords of the agriculture production means electronic goods which are searched for are obtained and serve as the second keywords; if the top-level classification crops exist, the second-level classification is searched for the agriculture production means electronic goods relevant to the top-level classification crops are searched for according to the second keywords, and the agriculture production means electronic goods are displayed. By means of the searching method, when a user searches for agriculture production means products, the agriculture production means electronic goods only in the search range can be provided for the user conveniently, by means of the recommendation of the crops, the user can conveniently select the agriculture production means electronic goods in the crop range.

Description

technical field [0001] The invention belongs to the technical field of network search for agricultural commodities, and in particular relates to a method for realizing the search of agricultural electronic commodities by using a computer program. Background technique [0002] The original e-commerce product search method is divided by product classification, that is, if agriculture is divided by product, there will be pesticides, seedlings, fertilizers, dropper systems, agricultural machinery, mulch, greenhouse consumables, etc. After classification, you need to add a planting industry separately in the attribute column, that is to say, there is a planting industry in all commodity categories, and choosing the planting industry cannot bring users the products they need, because the attribute changes For example, if you select corn as an attribute, only corn will be displayed, while other attributes, such as growth period, yield, etc., will appear inconsistent with the search...

AI Technical Summary

Problems solved by technology

[0004] Because the matching of agricultural production materials is closely connected with the planting industry, for example, if a user plants corn, he needs to purchase corn seeds, corn pests and diseases need to purchase corn-related pesticides, corn agricultural machinery, corn dropper system, etc.; When planting wheat, users need to buy wheat seeds, wheat pests and diseases need to buy wheat-related pesticides, wheat agricultural machinery, wheat drip irrigation system, etc.; and the same is the seeds, because the planting of corn and wheat is different, the seeds are different; For the same pesticide, because the pests and diseases of corn and wheat are different, the pesticides are different; for the same agricultural machinery, because the planting, spraying, and harvesting methods of corn and wheat are different, the agricultural machinery is different; Different from the wheat planting mode, the drip irrigation system is all different; moreover, there are many classifications of agricultural planting, close to 1,000 types, so it will be very troublesome for users to choose and locate products, and the work is repeated, which is not conducive to user experience

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