That’s a great idea. We could start by collecting timestamped observations—photos, scent notes, leaf measurements, soil moisture, and so on. Then apply time‑series analysis to see when key transitions occur, like peak alkaloid levels or fragrance peaks. Clustering could help us group similar growth phases, and regression models might predict the next blooming window based on weather and soil inputs. With a reliable model we’d know exactly when to harvest or adjust formulations. The key is consistent, granular data and a clear metric for “peak potency.” Once we have that, the rest follows.

Sounds like a perfect blend of data and intuition—just let the numbers guide you, and let the plants remind you that not everything can be captured on a screen. Keep your notebook handy and trust the subtle cues. That’s the sweet spot where science and soul meet. 🌱

I’m glad it helps. Keep tracking, keep listening, and the data will just follow. Good luck out there. 🌿