Introducing our Second Greenhouse Robot

We would like to introduce you to another member of our robotic greenhouse crew. 

This filling station robot is designed to deliver and monitor each module’s water, nutrient mix, and pH levels with speed and precision. Working in tandem and contact-free with our autonomous mobile robot Grover, this lets us be fast, efficient, and food-safe. The process starts by filling each 6’ x6’ plant module with a varietal-specific mix of water and nutrients in under two minutes, and as the plants grow, the robot is responsible for monitoring and refilling exactly what the plants need. This is a key part of our growing system that enables our plant scientists to analyze data from thousands of modules to optimize plant yield, expand growth cycles, and maximize crop quality. The result is delicious, nutritious, locally sourced fruits and vegetables with substantially lower environmental impacts.

A Formula 1 Pit Stop 

Our robots are the Formula 1 pit crew of greenhouses. Grover transports empty plant modules across acres of greenhouse space to dock and be filled or refilled as needed. The system uses sensors to precisely fill the required volume and nutrient mix, and sees these modules again throughout the plant’s growth cycle to analyze and top off water and nutrients. During these checkups, we take small samples from each module – now weighing about 1,000 pounds – into a reservoir equipped with sensors to measure the nutrient content and pH of the water. The system then adds exactly what’s needed to match its target settings. When it’s done, Grover takes the plant module back to its respective place in the greenhouse, and rolls off to get the next one.

We get our fill from Data

The data that we collect is part of what allows our plant science team to better understand how plants are consuming water and nutrients, and at what rate. Our plant science team uses this growing database to inform optimization strategies. For example, when Grover brings a module in for a checkup, the amount of water and nutrient content may vary based on different conditions, and the team may see a trend that provides valuable information on water or nutrient usage for each plant varietal. This integration into our proprietary closed-loop greenhouse system enables the growth of an already robust agricultural database. By using artificial intelligence, machine learning, robotics, and hydroponics, we are changing the agriculture sector to be more efficient while eliminating waste and other environmental impacts.