Daily measurements of ripening and spoilage for bananas stored at 20 degrees Celsius. Data was collected using a BME688 sensor, likely capturing environmental or gas composition changes. The dataset covers a 7-day monitoring period.
Use Cases
- Modeling fruit spoilage progression based on daily sensor measurements.
- Developing time-series forecasting models for banana ripeness.
- Correlating environmental sensor data with visual or chemical indicators of spoilage.
Strengths
- Explicitly defined 7-day measurement period.
- Specific storage temperature (20°C) is documented.
- Sensor type (BME688) is identified, suggesting consistent data collection.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect bias inherent to the specific experimental setup.
Provenance
- Source
- Kaggle
- Collection Method
- Daily sensor measurements using a BME688 device.
- Time Range
- Day 0 to Day 7