Real-time intelligent collection system of agricultural germplasm resource information

Abstract

The invention discloses a real-time intelligent collection system of agricultural germplasm resource information. The system is formed by 5 modules of data filling and reporting, data checking, archive exporting, audio / video evidence taking and system management. The data filling and reporting module includes three sub-modules of manual data filling and reporting, speech automatic-identification filling and reporting and intelligent-matching filling and reporting. The data checking module includes 3 sub-modules of repeatability inspection, normalization inspection and integrity inspection. Thearchive exporting module includes 3 sub-modules of table exporting, document exporting and image exporting. The audio / video evidence taking module includes 3 sub-modules of audio recording, video recording and image photographing. The system management module includes 2 sub-modules of knowledge library management and user management. According to the system, data checking is carried out in mannerof combining speech identification, intelligent matching and automatic verification, manpower cost investment is reduced, big-data technology is utilized to carry out analysis of germplasm resource character information, automation and intellectualization of a collection process of germplasm resource data can be realized, and collection work efficiency is greatly improved.

Description

technical field [0001] The invention relates to an information collection system, in particular to an information collection system of agricultural germplasm resources, and belongs to the technical field of intelligent data collection. Background technique [0002] At present, crop germplasm resources are widely divided, planting is scattered, and the standardization of trait information description is low. The current collection method collects a small amount of data, low variety richness, and insufficient data normative integrity, resulting in poor data quality and usable value. Therefore, the data held by scientific research and germplasm resources management departments have long data cycles, small quantities, and low richness, which cannot effectively support agricultural germplasm resources management and scientific research. [0003] In 2016, the state launched the "Third National General Survey of Germplasm Resources" to collect and collect information on germplasm r...

AI Technical Summary

Problems solved by technology

This method has high requirements for professional knowledge of agricultural germplasm resources, and information that cannot be confirmed on site, such as the Latin name of crops and the characteristics of germplasm resources, needs to be confirmed after a second query. The efficiency of data collection is low, and the speed of manual entry is slow. It requires a lot of work, and the quantity and quality of data collection cannot be guaranteed when the number of personnel and energy are limited

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