Research Article
Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy
Table 1
The location and type of soil sampling.
| Sample number | Types | Total samples | Location | Vegetation |
| S1 | Orchards | 13 | Chengyang District | Apricot orchard | S2 | Orchards | 13 | Chengyang District | Cherry orchard | S3 | Woodlands | 13 | Laoshan District | Reed, polygonaceae, willow, and other vegetation are distributed | S4 | Tea plantations | 13 | Laoshan District | Tea plantation | S5 | Woodlands | 13 | Laoshan District | Under the poplar forest, there are branches and weeds | S6 | Farmlands | 13 | Chengyang District | Wheat field after harvest | S7 | Bare lands | 13 | Jiaozhou District | Suaeda salsa with poor growth | S8 | Woodlands | 60 | Laoshan District | The forest at the foot of the mountain | S9 | Farmlands | 60 | Licang District | Corn field | S10 | Grasslands | 60 | Licang District | Overgrown with weeds |
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