Table 13.

Soil management table.

Author	Property	Observed Features	Functionality	Models/Algorithms	Results
[110]	Soil drying	Precipitation and potential evapotranspiration data	Evaluation of soil drying for agricultural planning	IBM/KNN and ANN/BP	Both performed with 91–94% accuracy
[111]	Soil condition	140 soil samples from top soil layer of an arable field	Prediction of soil OC, MC, and TN	SVM/LS-SVM and Regression/Cubist	OC: RMSEP = 0.062% & RPD = 2.20 (LS-SVM) MC: RMSEP = 0.457% & RPD = 2.24 (LS-SVM) TN: RMSEP = 0.071% & RPD = 1.96 (Cubist)
[112]	Soil temperature	Daily weather data: maximum, minimum, and average air temperature; global solar radiation; and atmospheric pressure. Data were collected for the period of 1996–2005 for Bandar Abbas and for the period of 1998–2004 for Kerman	Estimation of soil temperature for six (6) different depths 5, 10, 20, 30, 50, and 100 cm, in two different in climate conditions Iranian regions; Bandar Abbas and Kerman	ANN/SaE-ELM	Bandar Abbas station: MABE = 0.8046 to 1.5338 °C RMSE = 1.0958 to 1.9029 °C R = 0.9084 to 0.9893 Kerman station: MABE = 1.5415 to 2.3422 °C RMSE = 2.0017 to 2.9018 °C R = 0.8736 to 0.9831 depending on the depth
[113]	Soil moisture	Dataset of forces acting on a chisel and speed	Estimation of soil moisture	ANN/MLP and RBF	MLP: RMSE = 1.27% R2 = 0.79 APE = 3.77% RBF: RMSE = 1.30% R2 = 0.80 APE = 3.75%