Abstract: Prices of different grades of fresh cut flowers are quite different,resulting in the income gap among planting households in the same area and with the same planting area. This paper designs a quality evaluation system for fresh cut flowers in Yunnan based on intelligent algorithms：Using GRNN neural network algorithm to construct a fresh cut flower quality level assessment model based on intelligent algorithms,and then to construct a fresh cut flower quality level systematic model including user layer,presentation layer,application layer,support service layer,and data layer. Within the framework of the fresh cut flower quality level system model,the intelligent forecasting model was introduced into the framework,and a fresh cut flower quality rating system based on intelligent algorithms was designed. The implementation of such system will provide models for quality fresh cut flowers for fresh-cut flower planters and farmers,providing scientific research personnel with an important basis for the study of quality grades of fresh cut flowers.

Key words: intelligent algorithm, quality, grade, evaluation