Crop Yield Maximization Using an IoT-Based Smart Decision

Algorithm 1

Proposed algorithm for crop Selection Machine Learning (SCS) model.

1. Import libraries

2. Define variables and terms

3. Import datasets

4. Input rainfall data by user

5. Merge sensory dataset with rainfall prediction

6. Applied normalization

7. Applied split data

8. Applied classification algorithms

9. Evaluate results

10. Applied voting ensemble technique

11. Results output (selected crop)