Cassava Root Diameter Distributions from Real and Simulated Time-Series Images

The CassavaStore project collected and simulated images to analyze storage root development in cassava. Data includes analyzed images of real cassava roots acquired in a video box and simulated virtual root model images used for validation. The project was a collaboration between Forschungszentrum Jülich in Germany and institutions in Thailand.

Use Cases

• Validate root diameter measurement algorithms based on simulated images with known distributions.
• Monitor cassava storage root formation over time based on time-series image data.
• Optimize cassava growth for variety breeding based on quantified root diameter distributions.

Strengths

• Includes both real-world image data and simulated images with known ground-truth distributions for validation.
• Data originates from the CassavaStore project, a collaboration between Forschungszentrum Jülich and Thai research institutions.

Limitations

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

Provenance

Source

Forschungszentrum Jülich (IBG-2) and collaborating Thai institutions via the CassavaStore project.

Collection Method

Roots were excavated and imaged in a video box; a custom software identified roots and analyzed diameters automatically.

Geography

Likely includes data from Thailand, given the project's focus and collaborators.