Research Article
Crop Yield Maximization Using an IoT-Based Smart Decision
Table 4
An accuracy comparison with existing approaches.
| | Citations | Year | Dataset size | Features selected | Approach | Accuracy |
| | S. Parween et al. [39] | 2021 | Not mentioned | 5 | Naïve Bayes | 96.00% | | M. H. Kishan Das et al. [24] | 2021 | 300 | 4 | Decision tree | 97.00% | | R. Kumar and V. Singhal [40] | 2022 | 298 | 3 | XGBoost | 92% | | SCS (proposed model) | 2022 | 2200 | 10 | Ensemble Learning (DT, NB, SVM, KNN, and RF) | 97.45% |
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