The Convergence of Digital Twin, Internet of Things, and Artificial Intelligence: Digital Smart Farming

Ii Internet Of Things In Agriculture

The majority of the literature on the development of IoT technologies in agriculture consists of exploratory research that demonstrate systems in small pilot projects (Verdouw, 2016). The development of equipment and devices used on farms to gather information about the soil, crop quality, weather conditions, and other factors can be divided into two categories when it comes to the use of IoT in agriculture (Agale, 2017; Krishna et al., 2017). The second category includes the development of platforms that are used to store, organize, analyze, and visualize data to help with decision-making (Jayaraman et al., 2016).

The term “smart farming” appears while reading the literature on the application of information and communication technologies (ICT) in agriculture. Although the term “smart farming” has been in use for some time, there is still a need for a comprehensive definition of the term that encompasses the technology now employed in the agriculture industry. In order to integrate information and communication technologies in the cyber-physical farm management cycle, smart farming entails integrating them into machinery, equipment, and sensors. (Pivoto et al., 2018), (Wolfert et al., 2017).