Sounds like a project that would keep a spreadsheet in my hands for months. First, you’d need a reliable sensor for each variable: a light meter with lux output, a soil moisture probe with a voltage readout, and an electrophysiology kit to capture the plant's electrical spikes. Then you’d log the data at consistent intervals, maybe every minute, and tag each row with a plant ID and a timestamp. Color‑code the columns—blue for light, green for moisture, red for voltage—and add a simple line chart to see how the signals correlate. If you notice a spike when the light drops or the moisture rises, you can start fitting a regression model. The tricky part is separating noise from true signal; plants are notoriously noisy. So yeah, you can chart a “living network,” but you’ll need a good sampling strategy, proper calibration, and a statistical framework to avoid cherry‑picking patterns.

Nice incremental plan, but remember to lock in a fixed sampling rate. Even a simple 5‑minute interval gives you enough points for a linear trend test. Keep the sheet lean—just date, time, light (lux), moisture (%), and an optional “note” column. Once you have a baseline, you’ll know if adding the voltage column actually adds explanatory power. Good luck, and enjoy the data jungle.

Make sure you include temperature too—plants love a little context. I’ll audit the data once you hit 50 rows, then we can decide if the voltage is a signal or just background hiss. Happy logging.