Research Article
Machine Learning Algorithm for Soil Analysis and Classification of Micronutrients in IoT-Enabled Automated Farms
Table 4
Micronutrients composition in the soil sample.
| Parameters | Salem | Coimbatore | Tirupur | Erode |
| Cu (ppm) | 1.32 | 1.35 | 1.12 | 1.42 | Mn (ppm) | 2.08 | 6.82 | 2.2 | 8.7 | Fe (ppm) | 2.34 | 2.96 | 2.64 | 3.46 | B (ppm) | 0.35 | 0.19 | 0.46 | 0.35 | Zn (ppm) | 0.45 | 0.36 | 0. | 0.7 | S (ppm) | 10.12 | 18.65 | 38.05 | 46.72 | K (kg/ha) | 275.82 | 294 | 267 | 397 | P (kg/ha) | 32.6 | 38 | 14 | 17.84 | N (kg/ha) | 521 | 382 | 394 | 798 | OC (%) | 0.5 | 0.42 | 0.38 | 1.6 | EC (millimhos/cm) | 0.18 | 0.09 | 0.082 | 0.2 | pH | 8.2 | 8.3 | 8.04 | 8.4 |
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