Crop Yield Prediction in Nepal with Meteorological and Soil Data

Historical agricultural production features paired with multi-variable meteorological indicators and soil characteristics across various districts of Nepal, such as Achham and Terhathum. The dataset is engineered to build and evaluate predictive machine learning models for forecasting crop productivity based on environmental factors. It was authored by DBMoktan and last updated on 2026-06-08.

Use Cases

• Predict crop yields based on historical agricultural production features.
• Model the relationship between meteorological indicators and agricultural productivity.
• Assess the impact of soil characteristics on crop output across different districts.
• Build and evaluate tabular regression models for agricultural forecasting.

Strengths

• Dataset includes multi-variable meteorological indicators and soil characteristics.
• Covers various districts of Nepal, such as Achham and Terhathum.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update timestamp is in the future (2026-06-08).

Provenance

Source

DBMoktan

Time Range

Historical

Freshness

Last updated 2026-06-08 13:28:49

Geography

Nepal, including districts such as Achham and Terhathum