Cloud Platform for Automated Plant Cultivation
GDTech & ULiège
The recent emergence of plant factories highlighted the need for
automated plant cultivation in fully controlled environments. The automation
enables the determination of ideal plant varieties and cultivation parameters
to ensure optimal production yields. GDTech, an engineering service company
operating out of Belgium and France, along with ULiège, a Belgian university,
recognized the potential of these plant factories as tools for their research
and development pursuits.
In the process of designing and implementing these advanced automated
plant factories, our team worked closely with key stakeholders in the project,
integrating the hardware and software components of the solution. The hardware
infrastructure involves robotic equipment along with IoT sensors, actuators,
and cameras, which collect telemetry and imaging data from the cultivation unit.
The setup enables us to create an efficient cloud-based infrastructure,
leveraging AWS IoT related services, that is tailor-made to support the
hardware. The end goal here is to explore the feasibility and efficacy of
automated cultivation for specific plant varieties in this fully regulated
The infrastructure we developed harnesses AWS IoT services to collect
data from robotic actuators, environmental variables, and hyperspectral camera
imagery, condensing it into a scalable framework. The collected data is
subsequently analyzed to digitally phenotype the plants under cultivation
and to autonomously determine the optimal cultivation parameters.
Fully remotely controlled by researchers, this plant factory unit
offers the ability to monitor collected data via interactive dashboards,
allowing for a comprehensive view of the automated cultivation processes
in real time.
We conceptualized and executed a comprehensive cloud-based platform
for the effective monitoring, management, and control of a plant factory unit,
with the ultimate aim of enhancing plant production. The solution is currently
used for research and development purposes and aims at optimizing industrial
processes in future developments.