Autonomous Greenhouses – Smart Micro Farming and Large-scale Production
Combining AI and IoT technologies to establish an automated greenhouse management system able to monitor climatic conditions and carry out robotic crop treatments.
This FIE is aware of the large-scale potential of plant cultivation in gardens and greenhouses of Smart Cities and applies Artificial Intelligence (AI) and Internet of Things (IoT) solutions to achieve this objective. Therefore, they will develop a specialised micro-farming solution for individual users which includes several sensors and actuators to fully automate the management of greenhouses. It further requires the identification of key data needed for the efficient use of the system, relying on AI to provide decision assistance. Incorporated user feedback and the implementation of IoT components will additionally help to protect against the influence of external and environmental factors.
As a result, greenhouses will monitor their climatic conditions and carry out robotic treatments accordingly, including soil preparation, sowing, weeding and crop harvesting. Such an intelligent production support system will be able to predict yields at specific settings and help to indicate or eliminate production errors to optimise production costs for each micro-farm.
To reach its goals of end-user adoption the project will leverage the best-practices of EU producers of greenhouse sensor systems, measuring bases, data processing as well as business model support and resource planning systems in agriculture. The target audience includes producers of pepper, tomatoes, soft fruits or flowers alongside Smart City enthusiasts and gardening associations.