Wheat Biomass and LiDAR Point Clouds from Yanco, 2019

LiDAR point clouds with ground-truth biomass labels for wheat and triticale plots. The dataset was collected in Yanco during 2019. It is hosted on the Kaggle platform.

Use Cases

• Train biomass estimation models based on LiDAR point cloud features.
• Validate remote sensing algorithms for crop monitoring using ground-truth biomass labels.
• Analyze the relationship between LiDAR-derived metrics and crop health for wheat and triticale.

Strengths

• Includes ground-truth biomass labels, which are essential for supervised model training.
• Focuses on specific crop types (wheat and triticale) for targeted agricultural research.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Likely collected via LiDAR scanning of agricultural plots.

Time Range

2019

Geography

Yanco