基于Lucid多途径检索的油茶害虫诊断APP开发与实现

油茶是亚热带地区重要的木本油料作物,近年来随着种植面积的不断扩大和集约化经营,病虫害问题日益严重,对油茶的产量和品质造成不同程度的影响。本研究通过野外调查、文献查阅、种类鉴定等工作,整理了21种油茶主要害虫的形态特征、生物学习性、为害特点、防治措施等信息,并拍摄相应害虫及为害状的高清照片1 600张。采用Lucid智能诊断系统,构建Fact Sheet Fusion基础信息数据库,并针对多途径检索方式提取害虫"为害方式"、"为害部位"、"为害高峰期"、"形态特征"等4个1级特征组,以及10个2级特征和18个3级特征,共组成102个特征状态,构建了油茶害虫的快速诊断系统。在此基础上,转换得到基于Android系统的手机应用APP,为林农和森防一线工作者对油茶害虫快速识别和防治提供便捷服务,从而促进油茶产业持续健康发展。

Development and implementation of a mobile expert diagnostic APP forCamellia oleifera pests based on Lucid multi-way identification

Camellia oleifera is an important woody oil crop in the subtropical region. With the continuous expansion of plantation area and intensive management, the occurrence of pests increased rapidly in recent years, which seriously damage the yield and quality of oil production from the plant. Based on the field investigation, literature review, and species identification, we collected the basic information of 21 species of the major pests on C.oleifera, including the pest morphological characteristics, biology, damage characteristics, prevention measures and other information, as well as 1 600 high-resolution pictures of the pests and their damage. The Lucid Professional V 3.5 software, a multi-way identification system for pest intelligent diagnosis, was applied in this study. After all the basic information was well organized in the fact sheet fusion database, a Lucid system for the pest rapid diagnosis was then constructed with ranked and pictured characteristics. Totally 102 characteristic status were extracted including four first-grade character groups of damage parts, the way of damage, damage period and morphological characteristics, and 10 second-grade characters and 18 third-grade characters. On this basis, the system was converted into the mobile application for Android system to provide convenient services for oil tea farmers and forestry workers to quickly identify and prevent the pests, thus promoting the sustainable and healthy development of the C. oleifera industry.