Efficient, Eco-Friendly, Sustainable Mediterranean Greenhouse Integrated with Artificial Intelligence, Hi-Tech Automation and Control System
The aim of SusMedHouse is to develop a sustainable greenhouse system to enhance the productivity and decrease consumption of resources through self-learning artificial intelligence (AI) and high-tech automation and control system. Deep learning AI will provide tailor-made optimization via minimizing inputs for maximum output using sensor network integrated with image processing tools. Optimization of economic factors related with production will increase competitiveness of greenhouses in Mediterranean region. Innovative methods in pest and pathogen management, and novel materials used in the greenhouse will contribute to not only environmental preservation but also efficient use of resources.
Fraunhofer Institute for Solar Energy Systems
Institute for Agricultural and Forest Systems in the Mediterranean
Associacao de Viticultores Do Concelho De Palmela
ANTALYA TARIM ÜRETİM DANIŞMANLIK VE PAZARLAMA A. Ş.
List of participants
|1(Coordinator)||ARTECS Anadolu AR-GE Teknoloji Muhendislik ve Danismanlik A.S. (AR&TeCS)||Turkey|
|2||Fraunhofer Institute for Solar Energy Systems (Fraunhofer ISE)||Germany|
|3||Institute for Agricultural and Forest Systems in the Mediterranean (ISAFOM-CNR)||Italy|
|4||Associacao de Viticultores Do Concelho De Palmela (AVIPE)||Portugal|
|6||Antalya Tarim Uretim Danismanlik ve Pazarlama A.S.||Turkey|