GRoW by MetoMotion: Revolutionizing Horticulture with Autonomous Robotic Worker

GRoW by MetoMotion is an award-winning, autonomous robotic worker designed to navigate through greenhouses, efficiently picking and packing crops. It uses advanced analytics derived from sensor data for improved crop management and leverages its 3D vision capabilities to perform crop selection based on ripeness settings. It offers round-the-clock operations with limited human support, streamlining traditional horticultural processes and minimizing human error.

Computer Vision
Hardware
Features
  • Autonomous Navigation: GRoW drives through greenhouses autonomously, understanding the environment with its advanced sensors and performing tasks with minimal human intervention.
  • Advanced Analytics: Data from onboard sensors inform crop management decisions. This includes yield forecasts and distribution analyses, contributing to more accurate farming strategies.
  • Dual Robotic Arms: This feature enables the robot to do bidirectional harvesting, simultaneously picking crops from both sides, leading to highly effective harvesting.
  • Onboard Boxing System: The robot uses compact packing technology to place crops into standard industry boxes, ensuring easy integration with existing production processes.
  • 3D Vision Capabilities: GRoW perceptively selects crops based on their ripeness settings, providing in-depth, high-resolution color photos that can also be used for further crop analysis.
Use Cases
Vertical Specifics
Business Tags
Agricultural Monitoring
Use Cases
Solution Info Link
Seller
Seller Name
Meto Motion
Past project(s)
Client(s)
Country
Israel
Specializes in
Seller Page
GRoW by MetoMotion: Revolutionizing Horticulture with Autonomous Robotic Worker
Description

GRoW by MetoMotion is an award-winning, autonomous robotic worker designed to navigate through greenhouses, efficiently picking and packing crops. It uses advanced analytics derived from sensor data for improved crop management and leverages its 3D vision capabilities to perform crop selection based on ripeness settings. It offers round-the-clock operations with limited human support, streamlining traditional horticultural processes and minimizing human error.

Vertical Specifics
Business Tags
Agricultural Monitoring
Use Cases
AI Category
Computer Vision
Data Source
No items found.
Hardware / Software
Hardware
Solution Info Link
Features
  • Autonomous Navigation: GRoW drives through greenhouses autonomously, understanding the environment with its advanced sensors and performing tasks with minimal human intervention.
  • Advanced Analytics: Data from onboard sensors inform crop management decisions. This includes yield forecasts and distribution analyses, contributing to more accurate farming strategies.
  • Dual Robotic Arms: This feature enables the robot to do bidirectional harvesting, simultaneously picking crops from both sides, leading to highly effective harvesting.
  • Onboard Boxing System: The robot uses compact packing technology to place crops into standard industry boxes, ensuring easy integration with existing production processes.
  • 3D Vision Capabilities: GRoW perceptively selects crops based on their ripeness settings, providing in-depth, high-resolution color photos that can also be used for further crop analysis.
Use Cases
Seller
Seller Name
Meto Motion
Past project(s)
Client(s)
Country
Israel
Specializes in
Seller Page