In development
Giving plants
a voice.
GreenMind analyzes plant bioelectrical signals to detect stress earlier and specifically improve cultivation strategies.
The Problem
Plant stress is detected,
when the damage is already visible.
Today, sensors monitor the environment — temperature, humidity, soil moisture. But not the plant itself. However, plants send out bioelectrical signals that indicate stress — often before external symptoms become visible.
Our Approach
Understanding plant signals. Acting more specifically.
GreenMind records bioelectrical signals directly on the plant and makes them usable for data-driven cultivation decisions.
Early stress detection
Bioelectrical signals can indicate drought, pest, and nutrient stress — aiming to identify problems before visible damage occurs.
Data-driven yield planning
Plant signals combined with environmental data enable new approaches for yield planning — data-driven instead of purely experience-based.
Targeted resource usage
When the plant signals what it needs, water and nutrients can be used as needed — lower consumption, better results.
How it works
From signal to recommendation.
Plants react to their environment with measurable electrical signals. GreenMind makes these signals visible and analyzable.
Plant signal
Plants generate electrical signals in response to changes in their environment — light, water, temperature, nutrients.
Sensors
Sensors on the plant capture these signals non-invasively and combine them with environmental data like temperature and soil moisture.
Analysis
The data is automatically processed, filtered, and examined for patterns — which signals indicate which stress?
Recommendation
Insights are translated into concrete action recommendations — when to water, when to fertilize, when to intervene.
Foundation
Scientifically founded. Field-tested.
Developed in collaboration with FHNW and building on peer-reviewed research in plant electrophysiology.
University
of Applied Sciences Northwestern Switzerland
Continuous
data acquisition
Development
site Switzerland
Potentials
What GreenMind makes possible.
Early stress detection
Detect plant stress before it becomes visible — through the analysis of bioelectrical signal patterns.
Better yield planning
Plant signals and environmental data combined allow for more informed forecasts for harvest preparation.
Targeted watering and fertilizing
Apply water and nutrients exactly when the plant needs them — not according to a rigid schedule.
Faster risk detection
Identify pest infestations or diseases early and take targeted countermeasures.
Lower resource consumption
Reduce the ecological footprint through the demand-driven use of water and energy.
Data-driven decisions
From gut feeling to evidence — make cultivation decisions based on real plant data.
Join us
The future of agricultural diagnostics
will be data-driven.
Do you operate a cultivation environment and want to become part of the project? We are looking for partners for field tests and joint development.