This Ph.D Thesis aims to design and build a digital twin for a rural application, utilizing communication networks and low-bandwidth, battery-powered devices with low bit rates for long distances. In addition, secure accesses to distributed high-performance cloud computing facilities, will be provided, with required secure login and validation data. Leveraging Digital Twin (DT) technologies to build a virtual copy of the real system will attempt to develop a dynamic platform for testing, identifying, and confirming the interactions and outcomes of alternative decisions within the real system. Such an application can optimize the forecasting of future needs in applied agriculture, as well as act as a useful management tool to improve crop efficiency and operation, but also to minimize system risks and failures with a view to improving agricultural policy making and decision-making regarding the most efficient use of methods in precision agriculture in general.