Ensemble learning-based optimized evaluation method for improvement effect of organic materials on soil quality

Abstract

Provided relates to the field of evaluation methods, and in particular, to an ensemble learning-based optimized evaluation method for an improvement effect of organic materials on soil quality, including the following steps: S1: formulating an overall framework; S2: establishing of a total dataset (TDS) and a minimum dataset (MDS), and calculating soil quality indices based on the TDS and the MDS; S3: developing a soil quality prediction model based on machine learning; S4: generating a soil quality extended dataset and a soil quality evaluation dataset; and S5: data analysis method. In step S1, the overall framework includes: establishment of the TDS and calculation of a soil quality index based on the TDS, establishment of the MDS and calculation of a soil quality index based on the MDS, development of the soil quality prediction model based on machine learning, and generation of the soil quality evaluation dataset.

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