water footprint, machine learning, water save, sustainability, resource
TP 01: Use AI-systems (machine learning, deep learning and neural network approaches) to accelerate the digitisation in the agri-food sector
Our team is expert on water footprint analysis of agricultural production. We support water management decision making tools for agricultural systems. The spatial and temporal variations of water consumption of field crops is studied in details. Moreover, we provide optimization works to minimize the water used in irrigation. We basically divide the water resources into three colours as blue, green and grey water by quantifying the irrigation, soil moisture and the pollution assimilation.
We have a collaboration with İstanbul University on the machine learning or artifical intelligence tool applications on water footprint analyses. We also have a profession and experts to apply these methods on the agri-food systems.
We are open to be included in related projects on water footprint analysis and machine learning tool applicaitons.
National/public university with developed research abilities.
