Research Article
Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy
Table 7
The classification results of six types of soil in the test set by support vector machine.
| | The total number of calibration set | Type 1 orchards | Type 2 woodlands | Type 3 tea plantations | Type 4 farmlands | Type 5 bare lands | Type 6 grasslands |
| | 90 | 83.33% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | | (10/12) | (58/58) | (3/3) | (57/57) | (1/1) | (50/50) |
| | 80 | 84.62% | 100.00% | 80.00% | 100.00% | 100.00% | 100.00% | | (11/13) | (60/60) | (4/5) | (60/60) | (2/2) | (51/51) |
| | 70 | 81.25% | 100.00% | 100.00% | 100.100% | 100.00% | 100.00% | | (13/16) | (61/61) | (5/5) | (64/64) | (3/3) | (52/52) |
| | 60 | 76.47% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | | (13/17) | (66/66) | (6/6) | (64/64) | (5/5 | (53/53) |
| | 50 | 14.29% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | | (3/21) | (70/70) | (6/6) | (65/65) | (6/6) | (53/53) |
| | 40 | 36.36% | 100.00% | 37.50% | 100.00% | 85.71% | 100.00% | | (8/22) | (73/73) | (3/8) | (66/66) | (6/7) | (55/55) |
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