Project Title
Team
- E/21/226, Nadeera Kothalawala, email
- E/21/049, Lahiru Dinushan, email
- E/21/200, Rangana Madhushanka, email
- E/21/054, Deshan Dinidu, email
Table of Contents
- Introduction
- Solution Architecture
- Hardware & Software Designs
- Testing
- Detailed budget
- Conclusion
- Links
Introduction
The Sri Lankan tea industry currently relies on the subjective olfactory expertise of “Tea Makers” to determine the optimal fermentation (enzymatic oxidation) point. This manual approach is vulnerable to human error, sensory fatigue, and environmental variability, often resulting in inconsistent batch quality and financial loss.
SPECTRA LEAF is an IoT-based olfactory profiling system designed to digitize this process. By utilizing a multi-channel gas sensor array and color sensing, the system tracks the chemical transition from “grassy” aldehydes to “floral” terpene alcohols in real-time. This allows for the scientific identification of the “Sweet Spot”—the exact moment when flavor and color are maximized. The system records digital fingerprints of successful batches, enabling factories to replicate high-quality profiles consistently regardless of daily fluctuations in leaf quality.
Solution Architecture
High level diagram + description
Hardware and Software Designs
Detailed designs with many sub-sections
Testing
Testing done on hardware and software, detailed + summarized results
Detailed budget
All items and costs
| Item | Quantity | Unit Cost | Total |
|---|---|---|---|
| Sample item | 5 | 10 LKR | 50 LKR |
Conclusion
What was achieved, future developments, commercialization plans