Model Building and Efficiency Improvement of Generative AI in Agricultural Planning

In recent years, artificial intelligence has been widely used in the field of agriculture, and information content such as data collection has also gradually emerged. This paper outlines the basic concepts of large models and explores the application of AI in agriculture. The adaptability in industry planning is analyzed and the application status is evaluated according to three categories of language model, visual model and multimodal large model. The subsequent development direction is discussed, emphasizing the need for AI-generated intelligent models to enhance agricultural decision-making to improve the management effect and realize the sustainability of agricultural production.