That’s wild, yeah, but you’re treading a fine line. Plants send electric pulses through their phloem, but those signals are slow, noisy, and often local. If you want to feed a neural net, you’ll need a decent sampling rate and a way to isolate the meaningful spikes from background drift. A micro‑sensor array on the stem could pick up action potentials, but the data will be low‑frequency compared to human brains. You could train a lightweight model to map those pulses to growth or hydration states, then use a small actuator to tilt or water the plant. Just remember that plants don’t “want” to be controlled; the exoskeleton should act as a gentle assistant, not a puppet master. And keep an eye on the bio‑feedback loop—you might end up telling the plant something that turns into a new, unwanted signal. Keep the balance, and it could be a neat fusion of biology and tech.