Create the perfect growing conditions with precision control of climate systems including HVAC, fans, vents and more.
Lighting and CO2 are critical for optimal plant growth. RapidGrow provides automated control of LED lighting, shade systems and CO2.
RapidGrow monitors soil conditions and automates the control of hydroponic systems including pumps, valves and feed systems.
RapidGrowOS serves as the central operating system offering plants individualized attention at scale. It works by collecting billions of data points through an extensive network of sensors and cameras that feed into proprietary machine-learning algorithms.
RapidGrow Pro is an optional subscription service that extends the RapidGrow Platform to include enterprise-level features like advanced data analytics, artificial intelligence, user management, long-term data storage and so much more.
RapidGrow SmartLink™ enables communication among many devices connected to the same network such as third party sensors and equipment. Easily integrate RapidGrow SmartLink™ with other software programs you use throughout your farm.
Controlled Environment Agriculture (CEA) is a type of farming defined by growing in spaces whose conditions can be controlled and manipulated to match the needs of specific plants. Today’s smart farms allow for variations in humidity, temperature, light, and nutrients from area to area within a single farm. This means that different plants can grow in one indoor farm, but have their environments customized to their individual needs.
Over the past few decades, farming has been subject to numerous rapid technological advances. Today, traditional farmers and indoor growers alike employ an array of technologies to help their farms grow more efficiently. All of these tools fall under the umbrella term of Agriculture Technology, better known as AgTech, defined simply as the application of technology to farming. RapidGrow is a leader in the field of Agriculture Technology.
Artificial intelligence (AI) is commonly defined as a machine’s ability to perform cognitive functions we associate with human minds, such as perceiving, reasoning, learning, interacting with the environment, problem solving, and even exercising creativity. Some of the emerging technologies that enable AI to solve agricultural problems include robotics, computer vision, and machine learning.