Soil Indicators for Corn Productivity via Correlation Analysis

A 5.5 KB Excel file presents a selection of minimum dataset soil indicators (MDSCorr) derived from Pearson correlation analysis between soil properties and corn productivity. The dataset was authored by Khandakar Islam and last updated in April 2026. It contains the results of a correlation-based feature selection process.

Use Cases

• Selecting key soil property features (e.g., pH, organic matter) for predicting corn yield using correlation scores.
• Building parsimonious regression models for corn productivity using the identified MDSCorr indicators.
• Benchmarking feature selection methods in agricultural datasets against this correlation-based minimum dataset.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Provides a focused, methodology-driven result set of 5.5 KB.

Limitations

• Extremely small scale at 5.5 KB, indicating limited raw data or only summary results.
• Unknown row count and specific column names restrict direct analytical utility.

Provenance

Source

figshare, author Khandakar Islam.

Collection Method

Selection based on Pearson correlation analysis between soil properties and corn productivity.

Time Range

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Freshness

Last updated April 2026.

Geography

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