hydrologic model, climate change affects, digital twin, evaluation of IoT applications in agriculture
Enhancing the genetic diversity and variability of crops and livestock for the agroecological transition
Our aim is to utilize digital twin technologies to support agricultural ecology, enhance agricultural productivity, and ensure the efficient use of water resources. In this context, we aim to respond to the European Union's call on "identifying, assessing, and evaluating the benefits, impacts, and advantages of agricultural ecology" by developing sustainable solutions in the agricultural sector through the advanced analytics, simulation, and decision support systems provided by digital twins.
