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.

Abstract: The present disclosure provides a tablet case, and relates to the technical field of tablet cases. The tablet case includes a case body and a soft rubber side cover; a buckle cover is mounted on a surface of the case body; an insertion slot is formed in an outer side of the case body; an extension plate is fixedly arranged on a surface of the soft rubber side cover; one side of the extension plate is fixedly provided with an insertion rod. In addition, to mount the soft rubber side cover again, the user simply inserts the insertion rod into the insertion slot and can reuse the soft rubber side cover. The whole process is easy and fast, and the tablet case is convenient to use and can meet a use demand of the user.