植物学报2025，Vol.60Issue(1)：74-80,7.DOI:10.11983/CBB24027
北方草地植物物种智能识别模型构建及应用
An Artificial Intelligence Model for Identifying Grassland Plants in Northern China
摘要
Abstract
A large number of software applications for plant identification based on plant images have been developed in recent years.However,those applications are mostly used for identifying the common species countrywide,and thus cannot meet the needs of identifying region-specific vegetation types.In this study,we developed an artificial intelligence model for identifying the dominant plants in Hulunbeier and Xilinhot grassland in Inner Mongolia,based on the image datasets in the Plant Photo Bank of China.The Top5 accuracy of this model reaches 94.6％in the actual field identifica-tion tests.Our model provides a new method for the intelligent identification of the major plant species in a specific area.关键词
草地植物/人工智能/图像识别/呼伦贝尔/锡林浩特Key words
grassland plants/artificial intelligence/image recognition/Hulunbeier/Xilinhot引用本文复制引用
宣晶,高吉喜,李敏,付其迪,谢淦,薛凯,雒海瑞,魏泽,赵明月,智亮,万华伟..北方草地植物物种智能识别模型构建及应用[J].植物学报,2025,60(1):74-80,7.基金项目
国家重点研发计划(No.2021YFB3901102) （No.2021YFB3901102）
