Adaviv ladybug mobile imaging system for greenhouse monitoring

Technology
In development
Company

A cutting-edge mobile imaging system that integrates RGB and thermal imaging with a smartphone app to enable real-time monitoring of plant health in greenhouses. It offers high accuracy in detecting plant issues and optimizing growth conditions.

Overview

Adaviv's Ladybug mobile imaging system revolutionizes greenhouse monitoring by integrating advanced RGB and thermal imaging with a user-friendly smartphone app. This system enables real-time, remote monitoring of plant health, development, and space occupancy, providing greenhouse managers with detailed, actionable insights. By leveraging Visual Digital Twins (VDTs), it optimizes greenhouse management and identifies areas that require immediate attention, thus improving operational efficiency and plant productivity.

Technical specifications

Key features:

  • Utilizes low-cost RGB and thermal imaging technologies with over 90% accuracy in segmentation, disease detection, and spacing optimization.
  • The system captures thermal data every 5 minutes and RGB images 1-2 times per day at a 0.5mm resolution.
  • Integrates with a powerful AI engine, supported by a database of over 25 million annotated plant images, ensuring precise processing and analysis.
  • Mobile app facilitates continuous data collection and real-time annotation, enabling intuitive user interaction and data accessibility.
  • Designed for flexibility, the system can be deployed on various platforms, such as cable systems in greenhouses.
Technology readiness level

The Ladybug mobile imaging system is at Technology Readiness Level 5. It has been validated in controlled settings and is currently being deployed for initial real-world validation in greenhouse environments. The project involves two phases: deployment and initial validation, followed by scaling and advanced analytics, to further refine and optimize the system for commercial use.


About Adaviv

Adaviv is an MIT-originated company specializing in AI and computer vision solutions for agriculture, focusing on enhancing crop yields, reducing costs, and increasing farm profitability through innovative digital tools.

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