Credit line processing method and device, and crop identification method and device

Abstract

An embodiment of the invention provides a credit line processing method, a credit line processing device, a crop identification method and a crop identification device. The credit line processing method comprises the steps of: acquiring plot information of a crop plot of a target user; taking plot coordinate information and time information contained in the plot information as input parameters, and calling a crop identification interface to identify crop types; determining a confidence coefficient of the plot information according to the crop type distribution returned by the crop identification interface and the target crop types contained in the plot information; and determining the credit line of the target user based on the confidence coefficient, the plot information and the crop attributes corresponding to the target crop types.

Description

technical field [0001] This document relates to the technical field of data processing, in particular to a credit line processing method and device, and a crop identification method and device. Background technique [0002] With the promotion and application of communication technology and big data in traditional industries, services for digital production management based on big data have emerged in agriculture, forestry, aquaculture and other fields. It mainly depends on the production and planting activities, depending on the crop planting area and crop types. These users are limited by the thin data dimension when performing asset evaluation, contract signing, credit analysis and other activities, and are often at a disadvantage. Contents of the invention [0003] One or more embodiments of this specification provide a credit line processing method. The processing method of the credit line includes: obtaining the plot information of the target user's crop plot. Using...

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Problems solved by technology

[0002] With the promotion and application of communication technology and big data in traditional industries, services for digital production management based on big data have emerged in agriculture, forestry, aquaculture and other fields. It mainly depends on the production and planting activities, depending on the crop planting area and crop types. These users are limited by the thin data dimension when performing asset evaluation, contract signing, credit analysis and other activities, and are often at a relatively disadvantageous position.

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