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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
AI-driven Fertilizer Contamination Detector
About this project
Project Description
This object detection (FOMO) model detects chemical fertilizer contamination levels based on the soil integrity and structure altered by the applied organic fertilizers:
- Enriched
- Toxic
- Unsafe
After building my object detection model, I deployed my model as a supported SenseCAP A1101 firmware (UF2) and uploaded it to SenseCAP A1101. Also, I employed LattePanda 3 Delta to program SenseCAP A1101 to capture images and send the latest model detection results to a Twilio-verified phone number over WhatsApp via the Helium LongFi Network.
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Dataset summary
Data collected
105 itemsLabels
Enriched, Toxic, UnsafeProject info
| Project ID | 233660 |
| Project version | 1 |
| License | Apache 2.0 |
| No. of views | 16,061 |
| No. of clones | 4 |
