基于智能算法的云南花卉产业发展路径研究  

Research on the development path of Yunnan flower industry based on intelligent algorithm

作　　者：田鹏 李兆文 孙吉红[1] 包晓鹏 陈江权 沈颖鸣 Peng Tian;Zhaowen Li;Jihong Sun;Xiaopeng Bao;Jiangquan Chen;Yingming Shen(Yunnan Agricultural University,Kunming,Yunnan 650500,China;Chuxiong Academy of Agricultural Sciences,Chuxiong,Yunnan 675099,China;Yunnan Provincial Academy of Science and Technology,Kunming,Yunnan 650051,China)

机构地区：[1]云南农业大学,云南昆明650500 [2]楚雄州农业科学院,云南楚雄675099 [3]云南省科学技术院,云南昆明650051

出　　处：《产业科技创新》2024年第3期5-10,共6页Industrial Technology Innovation

基　　金：云南省创新引导与科技型企业培育计划项目“云南省科技成果转化智能服务平台建设”(202104BH110017)。

摘　　要：本文通过介绍云南省鲜切花产业发展概况,详解该产业对于云南经济发展的重要性,引出云南省花卉产业的现状,凝练花卉产业发展过程中存在的问题。结合人工智能技术,以月季为例提出花卉产业发展的途径;提出构建基于智能算法的月季切花病虫害预测模型、月季切花品质识别模型的方法。并以开远市月季切花为例构建花卉产业病害智能预测模型。同时,针对云南花卉产业发展的现状以及云南丰富的花园资源,提出了康健园艺在云南花卉产业中的发展路径。This paper introduces the development of fresh cut flower industry in Yunnan Province,explains the importance of this industry to the economic development of Yunnan Province,leads to the current situation of flower industry in Yunnan Province,and condenses the problems existing in the development of flower industry.Combined with artificial intelligence technology,taking rose as an example,the way of flower industry development is put forward.A method of constructing a prediction model of cut rose diseases and insect pests and a quality recognition model of cut rose based on intelligent algorithm is proposed.Taking the cut rose in Kaiyuan City as an example,the intelligent prediction model of flower industry diseases was constructed.At the same time,in view of the current situation of the development of Yunnan flower industry and the rich garden resources in Yunnan,the development path of health horticulture in Yunnan flower industry is put forward.

关 键 词：鲜切花 花卉产业 人工智能技术 预测模型 康健园艺 

分 类 号：F327[经济管理—产业经济]