GreenResearcher is a modular indoor farming system designed for controlled plant experiments. With automated control of light, nutrients, and climate, it enables reproducible results and efficient data analysis – ideal for research institutions and breeding programs.
GreenResearcher helps you streamline trials, automate key routines, and collect reliable data from day one. Developed with scientists, for scientists. It’s the fastest way to validate results and bring your research to the next level.
Easily adaptable to different research setups and scales.
4 dimmable channels for spectrum control.
Automated nutrient delivery via 4–8 channels.
Stable air circulation for consistent growth conditions.
Continuous monitoring of key environmental parameters.
Customizable integrations for specific research needs.
greenhub is working with pilot partners to develop a tool that fully automates the evaluation of harvest and environmental data. In the future, you’ll be able to compare experiments, identify trends, and generate reports – no external software needed.
Interested in shaping the future of plant data analysis?
Scenarios for the use of the precision tool in scientific environments.
Universities and institutes use GreenResearcher to run reproducible experiments in controlled conditions. For example, to optimize light recipes for specific crops.
Plant breeders use GreenResearcher to accelerate breeding cycles, refine cultivation protocols and support phenotyping. The system enables the development of use cases and the generation of reproducible data.
GreenResearcher supports cross-site studies — with real-time data and standardized control for better comparison of results.
Thanks to its intuitive interface, GreenResearcher is ideal for training programs in indoor farming, agri-tech, and life sciences. It brings cutting-edge technology into classrooms and labs.
In control over your growth and conditions making GreenResearcher the perfect fit.
At TU Chemnitz, our GreenResearcher and GreenFarm OS support mathematical plant growth model development in an indoor farming research setup. The systems help automate data collection, enable precise nutrient and lighting control, and simplify remote experiment management. This setup facilitates scalable R&D workflows for academic teams focused on smart farming technologies.
Yes, the GreenResearcher is CE-certified and available within Europe. For availability in other regions, please contact us directly.
Advanced sensors, dimmable LEDs, and automated regulation of nutrients and humidity allow for exact control of growth conditions.
Yes, GreenResearcher’s modular design allows easy integration of additional sensors and technologies.
The system collects real-time data on light intensity and spectrum, nutrient concentration, humidity, temperature, CO₂ levels, and ventilation activity.
Yes. Depending on your infrastructure, data can be stored either on-premises or via a cloud-based solution.
Absolutely. The system’s modular architecture supports a wide range of research setups and growth stages.
greenhub offers climate-controlled systems that can be installed in warehouses or indoor facilities - ideal for research and production. Standalone outdoor container farms are not currently part of our offering. We’re happy to discuss tailored project solutions with you.
GreenResearcher is suitable for leafy greens, herbs, strawberries, tomatoes, model plants such as Arabidopsis thaliana and more.
Costs depend on your configuration and setup. Please get in touch for a personalized quote.
The open design allows for studying both micro- and macroclimate effects -helping bridge the gap between experimental setups and real-world production environments. This makes it ideal for applied research with practical relevance.
You do. Your data is never shared or published. We may use anonymized, randomized derivatives of system data to improve our tools — without any way to trace back to your original information.
GreenFarm OS includes built-in calibration features for self-maintenance. We also offer maintenance contracts with regular check-ups and calibrations.
Most users are fully up to speed within 48 hours following a two-hour onboarding session.
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