Application for IMAGING-PAM

WALZ in collaboration with the Federal Agency for Agriculture and Food (BLE), INUGA, the Fraunhofer UMSICHT, University of Applied Sciences Osnabrück and Computomics

The challenges faced by agricultural systems are increasing globally. Current studies indicate that reducing negative environmental impacts while maintaining yield and striving for higher product quality pose significant challenges. The central goal of LightSaverAI is to establish the foundation for an intelligent production system for indoor farming in urban spaces. This system measures chlorophyll fluorescence (ChlFl) as an indicator of photosynthetic rate, along with various environmental parameters, and analyzes them using AI approaches. As a result, the real-time light requirements of plants are assessed, and an LED illumination module is adjusted through a feedback loop to provide continuous illumination tailored to growth phases and environmental conditions. Leveraging LED technology, this system achieves maximum photosynthetic rates with minimal energy consumption.

Learn more about: INUGA: LightSaverAI

Key features of the system:

• Customized, resource-efficient plant illumination
• Capture and AI-based analysis of chlorophyll fluorescence and environmental parameters
• Expected outcomes and applications:
• Software for improved plant breeding and monitoring, leading to resource savings in indoor farming
• Enhanced use of image and data processing in horticulture
• Transferability to other production sectors (vegetable cultivation, spice and tea production, pharmaceutical industry)

Project participants:

• Fraunhofer UMSICHT
• Hochschule Osnabrück (Osnabrück University of Applied Sciences)
• Computomics GmbH
• Heinz Walz GmbH (Associate)