Smart Agriculture: Rice Variety Sensor Image Data
Catalog Summary
"Automated crop classification using morphological features captured by optical sensors for smart processing plants (Cammeo & Osmancik varieties)."
Catalog Notes
Using IoT Optical Sensors, this dataset captures 3,810 instances of rice grains across two major varieties (Cammeo and Osmancik).
Morphological Features:
- Area & Perimeter: Physical size metrics in pixels.
- Major/Minor Axis Length: Geometric shape data.
- Eccentricity: Measures how round the ellipse is.
- Convex Area: Pixel count of the smallest convex shell.
Use Case:
Building AI-powered sorting machines for smart agriculture logistics and quality control.
Source: UCI Machine Learning Repository (ID: 545) - Rice (Cammeo and Osmancik).
View Data Structure
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Preview on ExternalCite This Catalog Record
IoTDataset.com (2026). Smart Agriculture: Rice Variety Sensor Image Data — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/smart-agri-rice-variety-sensor-data
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Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 06, 2026
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