关键词: 智能, 模型, 鲜切花, 知识图谱, 推荐

Abstract: In order to further advance smart agriculture to promote the in-depth development of the fresh cut flower industry in Yunnan Province, provide accurate information on best-selling and unsalable varieties for growers, planting companies and the entire fresh-cut flower industry to avoid the undesirable phenomenon of large-scale cultivation of unsalable varieties, and ensure that the benefits of the fresh-cut flower industry were maximized, taking Yunnan fresh-cut flowers as the research object, the problems existed in a series of processes such as seed selection, planting, sales were analyzed. Then the associations and differences of different fresh cut flowers were found, and the artificial neural network algorithm to construct the intelligent recommendation model for fresh cut flowers recommends different varieties of fresh cut flowers to different populations. At the same time, the introduction of the cloud platform provided a reference basis for flower farmers, retail investors, planting companies, and scientific researchers, which could more accurately determine the types of customers, conduct targeted sales and research, and promote the healthy and orderly development of the fresh cut flower industry in Yunnan.

Key words: intelligence, model, fresh-cut flower, knowledge graph, recommendation