부산대학교 도서관

Digital twins and Internet of Things (IoT) technology have revolutionized modern farming by enabling creative techniques of monitoring and controlling crop growth and well-being. This article investigates the potential applications of Internet of Things (IoT) sensors and digital twin models for agriculture to provide farmers with analytical projections, assistance in making decisions, and continuous surveillance. Digital twin models are simulated representations of the real agricultural ecosystem that use data from multiple sources to correctly represent the dynamic interplay among crop nutritional status and conditions in the environment. The Internet of Things (IoT) and the use of digital twins have revolutionized the modern agricultural sector by enabling the monitoring and management of farms in order to regulate crop health and growth. The current research looks into the use of IoT sensors and digital twin technologies in agriculture. Farmers can obtain comprehensive data on agricultural growth conditions by utilizing Internet of Things (IoT) sensors. Sensors such as these collect data on solar exposure, pH, temperature, humidity, and moisture levels in the soil. Digital twin designs, computational depictions of the real agriculture atmosphere, are being developed using this information sources to replicate the dynamic interaction involving the physiology of crops and external factors.