Maize Nitrogen Application Effects with Crop, Soil, and Weather Data

A dataset developed by Jongwon Kang to assess late nitrogen timing and 4R management effects on maize productivity and nitrogen uptake across multiple environments. It includes crop management information, soil properties, daily weather data, and agronomic measurements such as grain yield, biomass, and plant N uptake. The dataset was last updated on 2026-04 25.

Use Cases

• Predict maize grain yield based on nitrogen application timing and environmental conditions.
• Model plant nitrogen uptake using soil property and daily weather data.
• Analyze the interaction between crop management practices and biomass production.
• Compare the efficacy of 4R nitrogen management principles across different growing environments.

Strengths

• Integrates multiple data types: crop management, soil properties, daily weather, and agronomic measurements.
• Focuses on a specific, impactful agricultural practice: late nitrogen application and 4R management.
• Designed for cross-environmental analysis, suggesting data from multiple sites.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Developed for research evaluating late nitrogen application efficacy.

Time Range

null

Freshness

Last updated 2026-04-25 04:15:45; freshness should be verified.

Geography

Multiple environments (specific locations not stated).