A method for early warning of agricultural product origin safety

Abstract

An early warning method for the safety of agricultural product origin, which organically combines historical monitoring information and encrypted point distribution monitoring information, and considers the model algorithm results and the spatial characteristics of the area to be early warning. , Dynamic, multi-indicator soil-agricultural product early warning provides data support and effective ideas for the early warning work of the regional production area environment. Based on the monitoring information, the area to be early warning is divided into the standard area and the exceeding standard area, and the targeted prevention and control is screened according to the regional characteristics. Technical measures, comprehensive analysis of soil ecological thresholds and heavy metal accumulation rates, and recommendations for preventive measures based on the analysis results. Compared with traditional early warning methods, the prevention time is earlier, the early warning period is extended, the control measures are more effective, and the monitoring work is more targeted.

Description

technical field [0001] The invention belongs to the technical field of agricultural environment, and in particular relates to a safety encryption investigation and safety early warning method of agricultural product origin. Background technique [0002] my country's soil environment is seriously polluted, and the research on soil environmental risk and early warning is still immature. At present, it mainly focuses on the prediction and early warning of individual indicators of soil environment or the prediction and early warning of soil environmental quality, which cannot fully reflect the changes in soil environmental safety and thus predict the quality and safety of agricultural products. Therefore, there is an urgent need to establish a comprehensive, accurate, and timely environmental risk prediction and early warning system for agricultural product origin to serve and guide land and resource management, agricultural production layout, soil restoration and governance, and ...

AI Technical Summary

Problems solved by technology

[0002] my country's soil environment is seriously polluted, and the research on soil environmental risk and early warning is still immature. At present, it mainly focuses on the prediction and early warning of individual indicators of soil environment or the prediction and early warning of soil environmental quality, which cannot fully reflect the changes in soil environmental safety and thus predict the quality and safety of agricultural products. Therefore, there is an urgent need to establish a comprehensive, accurate, and timely environmental risk prediction and early warning system for agricultural product origin to serve and guide land and resource management, agricultural production layout, soil restoration and governance, and agricultural product risk control.

[0003] The main problems in the above technical methods are: (1) The monitoring and early warning technology is single, and it is difficult to achieve rapid, dynamic, and multi-index soil heavy metal early warning; (2) The monitoring and early warning system is not perfect, the process is complicated and the capital investment is large; (3) Soil monitoring and early warning work is mostly carried out for the soil environment itself, and lacks an organic combination with the monitoring results of agricultural products; (4) the existing sampling technology is difficult to fully reflect the pollution degree of the production area, and dense distribution will greatly increase the investigation cost

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