AI touchscreen & controller
Live readouts, AI recommendations, and student notes — all on a built-in display students operate directly.
The Farm-Ed Grow Chamber unites hands-on engineering, controlled-environment agriculture, and real-time data analytics in one compact classroom lab — so students build, grow, test, and analyze like real AgTech innovators.
Farm-Ed isn't a kit. It's a complete platform — a sensor-rich indoor farm, a controlled-environment-agriculture system, and a live data dashboard — designed for the way K-12 science is actually taught.
A 70″ pre-assembled indoor farm with programmable canopy lighting, hydroponics, auto-dosing nutrients, and closed-loop climate control.
Real controlled-environment agriculture — the same paradigm running today's commercial vertical farms — tuned for the classroom rhythm.
216,000+ sensor readings per day stream to a live student dashboard. An AI model improves grow recipes between every harvest.
Tap a label to see what's inside.
Live readouts, AI recommendations, and student notes — all on a built-in display students operate directly.
A 250 W tunable canopy plus twin 25 W progressive-spectrum side lights. Tune the recipe; watch growth respond.
Leafy greens, herbs, peppers, cucumbers, tomatoes. One chamber runs three crops at once on staggered cycles.
Oxygen-rich water and industry-grade nutrients delivered to the roots — no soil, no plumbing, no mess.
Students compare growth habits, nutrient needs, and life cycles across basil, lettuce, cherry tomatoes, peppers, and more. Every new plant is a new biology experiment — and a new dataset.
Crops mature on different schedules, which means there's always something to observe, harvest, or replant. Real seasonality, in a classroom corner.
Oxygen-rich water and precision-dosed nutrients flow directly to the roots, then recede. No soil. Less mess. Optimal development at every stage.
Students measure EC, dial pH, and adjust the nutrient mix between cycles — the exact loop a working AgTech engineer runs.
Closed-loop sensors hold the chamber on target ±1°C, ±5% RH, year-round. Wide-spectrum LEDs serve the right wavelengths at the right time, programmable down to the photoperiod.
The result: plants grow strong, healthy, and on schedule — and the data students collect actually reflects the variables they changed.
Not stock photos. Not renders. These are real Farm-Ed classrooms, growing right now.
One chamber. Up to three crops running concurrently. New experiments every cycle.
Each Grow Chamber streams continuous telemetry to a browser-based dashboard — accessible to every student, on every device, in your school.
Track temperature, humidity, EC, pH, and light — logged every 60 seconds.
The model forecasts yield, flags anomalies, and recommends recipe adjustments.
Students download raw datasets and run their own analysis in Sheets or Python.
Sensor data feeds an AI model that gets sharper with every harvest. Yields go up. Cycle times come down. The grow "recipes" get better — and students see cause and effect in measurable, living terms.
It's machine learning that doesn't live in a textbook. It lives in the chamber, on the dashboard, and in the next basil harvest.
Rolls in on casters. Plugs into a standard 120V outlet. No tools, plumbing, or IT tickets required. Streams data the day you turn it on.