Table 8 Comparative analysis of the proposed research approach with other studies.

From: Incorporating soil information with machine learning for crop recommendation to improve agricultural output

Reference

Techniques

Performance

3

Multiple Linear Regression (MLR), LSTM with feature engineering

86.3%

33

machine ensemble method (KRR)

MSE= 0.016, \(R^2\)=0.99

34

ARMA, SAR IMA, ARMA with exogenous variables compared, selecting the best for predicting rainfall and temperature

fuzzy logic model for crop yield prediction

35

MapReduce and K-means clustering

provides a mean result on the data.

Proposed

Ensemble model RFXG

98%

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