University IoT Engineering Project

Digitizing the Art of
Tea Fermentation

An IoT-based olfactory profiling system replacing subjective guesswork with data-driven precision. We use multi-channel gas arrays and color sensing to identify the exact "Sweet Spot" where flavor and quality are maximized.

Science & Architecture

A seamless integration of precision hardware and scalable cloud infrastructure.

Olfactory Profiling

Utilizing a multi-channel gas sensor array to track chemical transitions from grassy aldehydes to floral terpene alcohols in real-time.

Edge Hardware

Custom ESP32-based hardware with a robust tri-voltage power regulation system, ensuring precise, noise-free sensor readings in harsh environments.

Serverless Cloud

A highly scalable AWS backend using serverless architecture to process sensor data with machine learning, pinpointing the fermentation sweet spot.

Live Dashboard Preview

Our algorithm continuously monitors the Fermentation Plateau. As the tea leaves oxidize, we track the delicate balance of volatile organic compounds.

When floral terpene alcohols surge and grassy aldehydes dissipate, they form a critical intersection. This exact moment is identified as the Sweet Spot, notifying tea makers to halt fermentation and lock in the perfect batch.

dashboard.spectraleaf.io

Meet the Engineers

The team behind SPECTRA-LEAF, driving innovation in IoT and agricultural technology.

NK

Nadeera Kothalawala

E/21/226

e21226@eng.pdn.ac.lk
LD

Lahiru Dinushan

E/21/049

e21049@eng.pdn.ac.lk
RM

Rangana Madhushanka

E/21/200

e21200@eng.pdn.ac.lk
DD

Deshan Dinidu

E/21/054

e21054@eng.pdn.ac.lk