The ongoing increase in the Earth’s population, climate challenges, and environmental variations subjected the agricultural resources to high pressure. Consequently, the importance of using more creative ideas to enhance the agricultural sector and improve the outcome of crops became an essential aspect. The ability of automation and innovation technologies to combine and utilize a wide range of information earned the agricultural sector interest and put the smart agriculture technique on the top of farmers’ priorities in the recent days. The digital twins (DTs) technique is considered to be one of the promising techniques that has a great potential in enhancing the farming sector. It is considered to be a virtual representation tool for modeling and simulating the real agriculture systems that usually changes with time. Crop field monitoring, livestock facilities, or irrigation systems are some examples that can be utilized using the (DTs) technique which make it easier in the monitoring process using these platforms. The (DTs) model integrates a wide range of data and information, such as satellite imagery, sensor data, and artificial intelligence (AI) tools, which are used to improve the application of the (DTs) in agricultural operations. Furthermore, the DTs can also be used in many other applications such as irrigation scheduling, water management, and soil ecology and fertility. By comparing the real world with the hypothetical one, we can achieve a strong milestone to fill the gap between theory and real practice in the application of the digital twins in multiple sectors like in the case of crop monitoring and management, livestock productivity and health, soil ecology and fertility, and precision irrigation and water management.