摘要
草本植物物种的鉴别和分类是草地资源调查和相关学科科研教学的重要组成,对于传统植物鉴别和信息查询方式而言,其过程费时费力且较为繁琐,难以满足使用需求。随着计算机技术的不断发展与运用,为植物图像数据库构建、分类、检索工作提供了新的手段和方法。基于Access平台,建立了甘肃省榆中县常见草本植物图像数据的资源信息数据库,包括13个科256个种的常见草本植物。在此基础上,利用VBA语言设计并开发了该地区的植物检索系统。精度评价结果表明,当输入形态特征信息数为3条时,除了禾本科以外,植物识别率在70%以上;输入形态特征信息数为6条时,植物识别率均在80%以上,其中车前科、旋花科、莎草科和蒺藜科识别率可达到100%。该系统对各科草本植物的识别准确度较好、系统操作简便、可视化效果好,能满足大部分使用需求。
The identification and classification of herbaceous plant species is an important component of grassland resource surveys and related scientific research and teaching.With the continuous development and application of computer technology,new means and methods are provided for the construction,classification,and retrieval of plant image databases.In this study,we established a resource information database of common herb image data in Yuzhong county,Gansu province,including 13 families and 256 species of common herbs,based on the Access platform.On this basis,a plant retrieval system for the area was designed and developed using the VBA language.The accuracy evaluation results showed that when the input morphological information number was 3,the plant recognition rate could reach over 70%except for Gramineae.When the input morphological information number was 6,the plant recognition rate could reach over 80%,although the recognition rate of Plantaginaceae,Cyperaceae,Salviaceae,and Tribulus could reach 100%.The identification accuracy of the system to various herbaceous plant families is high,the system operation is simple and easy,the visualization effect is good,meeting most of the user requirements.
作者
修炀景
侯蒙京
谢玉鸿
冯琦胜
梁天刚
XIU Yangjing;HOU Mengjing;XIE Yuhong;FENG Qisheng;LIANG Tiangang(State Key Laboratory of Grassland Agro-ecosystems/Key Laboratory of Grassland Livestock Industry Innovation,Ministry of Agriculture and Rural Affairs/Engineering Research Center of Grassland Industry,Ministry of Education/College of Pastoral Agriculture Science and Technology,Lanzhou University,Lanzhou 730020,Gansu,China)
出处
《草业科学》
CAS
CSCD
北大核心
2021年第6期1181-1193,共13页
Pratacultural Science
基金
现代农业产业技术体系建设专项资金(CARS-34)
中国工程院咨询研究项目(2021-HZ-5、2020-XZ-29)
甘肃省牛羊种质与秸秆饲料化重点实验室基金项目(2019KL-03)
兰州大学中央高校基本科研业务费专项资金(lzujbky-2020-kb29)
兰州大学中央高校基本科研业务费专项资金(lzujbky-2021-kb13)。
