Empirical Study on Improving Economic Benefits of Internet of Things Technology in Agricultural Production Management

Abstract

Traditional agricultural management relies on manual operations and experience accumulation, lacking real-time automated monitoring and empirical evaluation of economic benefits. This paper constructs an agricultural production management system using Internet of Things (IoT) technology to improve production efficiency, save costs, and enhance economic benefits through precise management and real-time monitoring. The system design includes sensors, wireless networks, and cloud platforms to ensure efficient data collection and transmission. Real-time agricultural environment monitoring is achieved by deploying soil moisture, temperature, and light sensors, and precise data collection and analysis are supported. A precision agriculture model is built based on real-time data. Resource allocation is optimized, and automatic irrigation, intelligent fertilization, and pest and disease prediction are promoted. Field tests of the system in typical agricultural scenarios verify its feasibility and effectiveness. The experimental results show that the average growth period of rice in the experimental area is 121 days, significantly shorter than the 141.8 days in the control area. The unit area cost of the experimental area is relatively low, which shows the effective cost control of IoT technology. The autumn yield in the experimental area is 427.2kg/mu, higher than the 395.8kg/mu in the control area. This paper provides empirical support for the application of IoT technology in agriculture, which is an essential resource for developing smart agriculture.