Implementation and Evaluation of Smart Agriculture System based on Big Data Analytics

The aim of this research is to implement and evaluate a smart agriculture system based on big data analytics, which provides a new way to improve the efficiency of agricultural production in the context of glocalization and climate change. Our research utilizes advanced information technology and big data analytics to optimize the agricultural production process. The article begins by introducing the concept of smart agriculture and its importance in modern agriculture. Then, we describe the architecture of the smart agriculture system, including the key aspects of data collection, processing and analysis. The system collects farm data through a network of sensors and uses cloud computing technology for processing and analysis. For the evaluation of the system, we focus on both ease of use and performance. Through collaboration with agricultural practitioners, we collected feedback on the system's user interface, understanding of its functionality, and impact on the agricultural production process. In addition, system performance was assessed through indicators such as processing speed, data accuracy, and system stability. Test results show that the system performs well in terms of ease of use, with users being able to learn quickly and operate effectively. In terms of performance, the system demonstrated efficient data processing capability and stable performance. These results indicate that our smart agriculture system is not only technologically advanced but also user-friendly and can effectively assist in agricultural production decisions.