Digital Twins based system in Smart Farming

Author : Tariq BENAHMED

Abstract : In this paper we present à smart farming system that combine several aspects which are fish farming aquaculture, Duckweed cultivation, and crop production in order to enhance the food quality, reduce costs, and increase income. The proposed system uses a digital twin technology that represents the virtual model connected to real sensors to monitor and control system in real time. In comparison to Azolla, duckweed is characterized as an aquatic plant that grows quickly, is high in protein, is easier to grow, and is more versatile. It can be used as a natural crop fertilizer and is fed to cows, fish, and poultry. Duckweed plant irrigated by using the wastewater used in fish basin that allows creating a circular system that recycles nutrients and decreases pollution. Temperature, nutrient levels, and water quality are all measured by sensors by integrating AI algorithms the system can early detect the problem, fertilization optimization such as NPK, and plant growth prediction. Farmers can model various scenarios and improve their decision making with the help of the digital twin. Particularly in arid or rural areas, this integrated system provides an adequate and environmentally responsible smart agriculture solution by using simple technology and local resources to increase sustainability, productivity, and animal health.

Keywords : Digital Twins; Smart Farming; Sensors; Internet of Things

Conference Name : International Conference on Space-Based Communication Networks (ICSBCN-26)

Conference Place : Hammamet, Tunisia

Conference Date : 17th Feb 2026