Research Article

Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy

Table 1

The location and type of soil sampling.

Sample numberTypesTotal samplesLocationVegetation

S1Orchards13Chengyang DistrictApricot orchard
S2Orchards13Chengyang DistrictCherry orchard
S3Woodlands13Laoshan DistrictReed, polygonaceae, willow, and other vegetation are distributed
S4Tea plantations13Laoshan DistrictTea plantation
S5Woodlands13Laoshan DistrictUnder the poplar forest, there are branches and weeds
S6Farmlands13Chengyang DistrictWheat field after harvest
S7Bare lands13Jiaozhou DistrictSuaeda salsa with poor growth
S8Woodlands60Laoshan DistrictThe forest at the foot of the mountain
S9Farmlands60Licang DistrictCorn field
S10Grasslands60Licang DistrictOvergrown with weeds