钱晔 彭琳 杨婷娜 沈颖鸣 韦翌 孙吉红

摘要：针对不同等级的鲜切花价格差别较大且同一地区、相同种植面积的种植户种植收入差距较大的现象，设计基于智能算法的云南省鲜切花质量等级评价系统。首先采用GRNN神经网络算法构建基于智能算法的鲜切花质量等级评价模型，然后构建包括用户层、展示层、应用层、支撑服务层、数据层在内的鲜切花质量等级系统模型架构，将智能预测模型引入框架中，设计了基于智能算法的鲜切花质量等级评价系统。该系统的实施将为鲜切花种植企业、花农等提供种植优质鲜切花的模型，为科研人员提供对鲜切花质量等级的研究提供重要依据。

关键词：智能算法;质量;等级;评价

中图分类号：S68         文献标识码：A

文章编号：0439-8114（2018）22-0132-04

DOI：10.14088/j.cnki.issn0439-8114.2018.22.036           开放科学（资源服务）标识码（OSID）：

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

随着经济社会的不断发展，人们的物质生活水平不断提高，对鲜切花的需求量增加，更加追求视觉和心灵的享受。然而，在鲜切花进入千家万户的同时，关于鲜切花质量问题已成为花农、鲜切花生产企业最为关心和关注的问题，其直接影响了花农及鲜切花生产企业的生存。目前，世界多个国家和地区已经建立了相对规范的食品质量安全追溯体系，但中国在这方面着手较晚[1-4]。鲜切花属于特殊的农产品，由于鲜切花不用于食用而是观赏，并未受到各地政府的重视。无论是政府、企业、科研院所对鲜切花质量、品质问题的重视程度都远远低于食用性农产品的程度。……