Detailed Plant-by-Plant Sensing
A robot visits every plant every 30 seconds and collects detailed physiological information.Learn More
Our growth chambers can be controlled over the internet. Web dashboards enable easy control.Learn More
AI algorithms optimize the environment so your seeds become flowering plants in 50-70% less time.Learn More
Detailed Plant-by-Plant Sensing
Our robotic sensing system visits every plant every 30 seconds. Our customers can also configure the robot to adopt a different strategy.
Plant-by-Plant Photosynthetic Efficiency
Our cameras have 60 micron resolution enabling near cellular level precision in measurements of photosynthetic efficiency.
Neural-Network Biomass Segmentation
Neural networks measure the growth of leaves of every plant so that our customers can know exactly when new leaves emerge.
Plant-by-plant hyper-spectral imagery, stomatal dynamics sensing, fluorescent markers and much more...
Fine-Grained Environmental Control
The original phytotron at Caltech suffered from incomplete environmental control. More goes into a plant than simply PAR, light, humidity and CO2 levels. We are continually expanding our customers' capacity to control every element of the environment. Let us know what you want to control!
Specify your Spectrum and more...
Specify not simply your PAR levels but your photon count in every part of the spectrum. Precisely set temperature, humidity, pressure, CO2, and watering schedules.
Control the concentration of every macro and micro nutrient ion, control microbial addition schedule, and foliar vs root application of nutrients. Also looking to add plant-by-plant environment so every plant can be a different experiment.
Autonomous Plant Growth Chambers
Our growth chambers are the optimal tool for automated digital phenotyping, accelerating generation times for plant breeding cycles and determining optimal environmental conditions for your crop.
Our chamber come with all the functionality of a regular growth chamber but then adds detailed plant-by-plant sensing, easy remote operations and reinforcement learning algorithms for autonomous environmental optimization.
Our software automatically builds petabyte-sized datasets for every plant in your pipeline and then learns neural network algorithms to predict the future phenotype of very young plants saving you development time.
For instance, our optimization algorithms discovered that one of our customers' light levels were 30% lower than optimal in certain periods of the day thereby needlessly holding back yields.
Sensors Mounted on a Robot
Every plant has a unique digital id and it's growth is tracked every 30 seconds.
Every plant scientist, breeder or grower struggles with the slowness of growing a plant from seed to flower.
We have trained AI algorithms based off Google's AlphaGo to optimize the environment based off real-time feedback from every plant's photosynthetic efficiency.
In this way, our growth chamber can autonomously grow a seed into a flowering plant in 50-70% less time.
The Autonomous Plant Growth Chamber can be remotely operated from anywhere. From any point on earth, you can change the weather to reflect any other point on Earth.
The remote dashboard also allows our customers to receive detailed data on every individual plant.
Machine Learning Built-In
Our convolutional neural networks continually measure the size of every individual leaf with 100-micron precision to ensure extremely precise measurements of daily increase in biomass.
Optimize Harvest Index
Our models can also detect and quantify quality of individual flowers or fruits. In many horticultural crops, the goal is not calories it's aesthetics or taste. Neural networks can visually determine the quality of a berry and optimize the environment to produce that outcome. That optimization algorithm can then be deployed to your production or breeding facility.
2002 Davis St
San Leandro, United States 94577
P: +650 885 5000
Give us a call or drop by anytime, we endeavour to answer all enquiries within 24 hours.
We are open from 7am — 7pm weekdays.