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An AI-based, energy-optimized lighting system for urban indoor plant cultivation

In 2022, Computomics, Fraunhofer UMSICHT, and Osnabrück University of Applied Sciences received a grant for the project LightSaver AI. The goal of the joint project is to create the basis for an intelligent production system for indoor farms in urban areas.

Computomics is responsible for the machine learning (AI) part of the project and is actively working on an AI-assisted CEA (Controlled Environment Agriculture) method. This method predicts plant performance and development using AI techniques, incorporating chlorophyll-fluorescence data and environmental parameters from the indoor farm. The AI will optimize light conditions in the indoor farm to save energy efficiently while optimizing the plant's biomass gain.

Project Meeting in Osnabrück
On 30 January 2024, Rupashree Dass and Michelle Hagen from Computomics traveled to Osnabrück to discuss the next steps in the LightSaverAI project. Researchers met with Dr.-Ing. Felix Thoma from Fraunhofer UMSICHT, Prof. Andreas Ulbrich, and Matthias Preusche from Hochschule Osnabrück.

During the visit to the Hochschule Osnabrück's modern greenhouse, researchers observed live chlorophyll-fluorescence measurements. This experience was particularly exciting, as it offered a firsthand look at the entire system in action. It complemented their previous work with the measurement data obtained on-site.

The meeting concluded successfully, with agreements reached on the design of follow-up experiments. Discussions set a positive tone for the project's progression. As part of this continuing collaboration, the company is planning to invite the project partners to the company's office in the beautiful city of Tübingen later this year.

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