Accuracy of Automated vs. Manual Milk Quality Measurements from Rural Collection Centers

Nadun Salinda's dataset compares the accuracy of automated and manual methods for measuring milk pH and temperature, along with average testing times. The data is based on field validation trials conducted at rural milk collection centers. It was last updated on May 18, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Benchmarking automated sensor accuracy against manual field methods based on the described comparison.
• Analyzing the time efficiency of different milk quality testing procedures based on the average testing time metric.
• Evaluating the performance of measurement technologies in rural, resource-constrained settings based on the field trial context.

Strengths

• Data is based on field validation trials, suggesting real-world applicability.
• The dataset is openly licensed under CC-BY-4.0, allowing for broad reuse.
• File size is 5.5 KB, indicating a focused and likely manageable dataset.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is brief, providing minimal context about the trial scope or number of centers.

Provenance

Source

Nadun Salinda via figshare.

Collection Method

Field validation trials at rural milk collection centers.

Freshness

Last updated 2026-05-18 17:33:06; freshness should be verified.

Geography

Rural milk collection centers (specific location unknown).