WA State Agricultural Biotechnology Centre

Lte-connected iot sensor and imaging platform for greenhouse crop trait monitoring

Technology
In development
Company

An IoT and imaging platform for greenhouse management that combines low-cost LTE-connected sensors and cameras with thermal, NDVI, and RGB imaging. It measures environmental and plant-related variables (humidity, light intensity, temperature, soil moisture) to support rapid diagnostics for pests and diseases and provides QTL analytics for genetic attribute variability evaluation and novel trait discovery. Outputs are delivered through a streamlined interface with real-time, remote, VM-based assessment workflows.

Overview

An IoT and imaging platform that combines low-cost LTE-connected sensors and cameras to support greenhouse crop management. By integrating imaging (thermal, NDVI, RGB) and sensor-based monitoring (humidity, light intensity, temperature, soil moisture), it enables precise measurement of plant traits in crops such as wheat, soy, and barley. The platform supports rapid diagnostics for pests and diseases and provides QTL analytics to support genetic attribute variability evaluation and novel trait discovery. The system is designed to be user-friendly, providing outputs via a streamlined interface.

Technical specifications
  • Imaging Techniques: Utilizes thermal, NDVI, and RGB imaging for comprehensive plant monitoring.
  • Sensors: Monitors environmental factors such as humidity, light intensity, temperature, and soil moisture.
  • Data Collection: Information is compiled into a custom database, confirmed by lab analyses.
  • Connectivity: Low-cost LTE-connected IoT cameras and sensors enable data capture and processing.
  • Automation: Real-time, remote, VM-based assessment workflows facilitate data analysis.
Technology readiness level

The platform is at Technology Readiness Level 6, indicating that it has been demonstrated in relevant environments and is moving towards commercial deployment. Future initiatives include further collaboration to optimize the technology and confirm delivery of desired outcomes.

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