European Sugar Beet Harvest Data

Here's a suitable Zenodo description for your upload, summarizing the purpose and contents of the three data files:

Description

This dataset accompanies the study “Integrating Harvest Planning Along the Supply Chain: A Case Study From the European Sugar Beet Industry” by Baunach, Spinler, and Birge (2025). It includes simulated input data for replicating the paper's experiments using a multi-commodity flow (MCF) model and heuristic benchmark for planning sugar beet logistics.

Included Files

simulated_fields.csvGeospatial and yield data for 4,134 sugar beet fields. Each entry includes:

Field coordinates and geometry (X/Y and WKT)

Sugar content (%), area (ha), yield (t/ha), and total estimated beet mass

Useful for modeling harvest quantities and spatial accessibility.

simulated_machine_df.csvSpecifications for 11 harvesting/loading machines:

Field accessibility clusters per machine

Productivity rates (hourly, daily), operating/travel costs, and travel speeds

Assigned depot locations and total field yield coverage

Essential for vehicle routing and scheduling tasks.

simulated_cost_matrix_df.csvA 4,134 × 4,134 matrix of Euclidean travel costs between fields:

Symmetric matrix representing pairwise distances (or travel costs) in unit-less form

Used to compute optimal travel routes and operational costs in the model.

Context

These data support simulations of harvest scheduling, loader dispatch, and production planning across weekly time steps in a rolling-horizon setup. Code for model execution, benchmarking, and result reproduction is available at the corresponding GitHub repository (link to be added).