Abstract
This paper reviews the innovative applications and development trends of artificial intelligence (AI) in pest and disease management in agricultural production. As the scale of the agricultural output continues to expand and the complexity of environmental changes increases, the threat of pests and diseases to crops is becoming more prominent. The rapid development of AI technology offers new possibilities for addressing this issue. Firstly, the paper introduces the applications of AI in pest and disease identification and prediction, including the use of image recognition technology, data analysis, and machine learning algorithms, as well as the design and implementation of intelligent early warning systems. Secondly, it discusses the role of intelligent decision support systems in pest and disease management, covering the architecture of data-driven decision support systems, the implementation of intelligent agricultural management platforms, and the establishment of real-time monitoring and response mechanisms. Next, the paper explores the innovative applications of automated control technologies in pest and disease management, such as automated spraying and fertilization systems, intelligent agricultural robots, and the integration of biological control technologies with AI. Through case studies and practical applications, this paper showcases the successful application of AI in agricultural pest and disease management and provides an outlook on future development trends. This paper aims to provide agricultural producers and researchers with a comprehensive understanding, thereby promoting the further application and development of AI in agricultural pest and disease management.
