QX/T 486-2019 in English

Analysis of the core content of the standard

This standard establishes a quantitative evaluation system for the climate quality of agricultural products based on data from meteorological observation stations. Through a weighted sum model, key meteorological factors such as temperature and humidity are converted into a graded climate quality evaluation index (I_ACQ).

Technical framework for climate quality evaluation

Typical Application Case (Tea)

Implementation Recommendations

1. Data Quality Control: It is recommended to combine regional automatic weather stations with GPS positioning at agricultural product sampling points.
2. Model Optimization: Introduce machine learning algorithms such as random forests for different agricultural products.
3. Certification Extension: Establish an evaluation system for local specialty agricultural products based on cases such as the Korla fragrant pear.

Technology Evolution Analysis

This standard inherits and develops the tea evaluation method of QX/T 1411-2017, systematically constructing a universal evaluation framework applicable to multiple agricultural products for the first time. Subsequent studies, such as those on the Dangshan Crisp Pear and Red Fuji Apple, have verified the model's scalability.