Thesis Nest built a real-time plant leaf disease detector that uses CNN-based deep learning to identify common diseases from field or greenhouse images and flag issues early—before yield drops.
Highlights:
- Robust CNN pipeline with multi-class diagnosis (e.g., blight, rust, mildew)
- Works from phone, drone, or CCTV; offline edge inference available
- Confidence scores, lesion heatmaps, and treatment notes
- Batch upload + API for farm ERPs; exportable reports
- Active learning loop to adapt to local cultivars & lighting
Impact: Faster scouting, targeted interventions, and higher yields—with transparent, explainable results your agronomists can trust.
