Abstract
Acting as a realistic data-driven digital representation of the real world, Digital Twins can be used for systems analysis and decision support. To that end, they constitute a digitalization paradigm in agriculture by continuously capturing and analyzing data, modeling, and simulating systems and processes through interaction with the internet of things (IoT) and exploiting advances in artificial intelligence and wireless sensing systems. Among these technologies, the integration of unmanned aerial vehicles in Digital Twins shows great potential in order to optimize several agricultural practices, from real-time and accurate information acquisition to field mapping and spraying. The chapter overviews some recent applications of using Digital Twin coupled with unmanned aerial vehicles in agriculture. Overall, Digital Twins are still in their infancy in the agricultural context, mainly because of the complex and dynamic nature of the sector itself combined with the slow adoption of digital technologies. It is anticipated that open-source Digital Twins and IoT platforms are going to foster the scientific and technological progress in this field.
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