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An Artificial Intelligence Model for Identifying Grassland Plants in Northern China
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Jing Xuan1, 2, Qidi Fu1, Gan Xie1, 2, Kai Xue1, Hairui Luo1, 2, Ze Wei1, Mingyue Zhao1, Liang Zhi1, Huawei Wan3, Jixi Gao3, Min Li1, 2, *
Chinese Bulletin of Botany | 2025, 60(1) : 74 - 80
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Chinese Bulletin of Botany | 2025, 60(1): 74-80
• TECHNIQUES AND METHODS •
An Artificial Intelligence Model for Identifying Grassland Plants in Northern China
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Jing Xuan1, 2, Qidi Fu1, Gan Xie1, 2, Kai Xue1, Hairui Luo1, 2, Ze Wei1, Mingyue Zhao1, Liang Zhi1, Huawei Wan3, Jixi Gao3, Min Li1, 2, *
Affiliations
  • 1Big Data and AI Biodiversity Conservation Research Center, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
  • 2China National Botanical Garden, Beijing 100093, China
  • 3Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China
About Author:

†These authors contributed equally to this paper

Published: 2025-01-10 doi: 10.11983/CBB24027
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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 identification tests. Our model provides a new method for the intelligent identification of the major plant species in a specific area.

grassland plants  /  artificial intelligence  /  image recognition  /  Hulunbeier  /  Xilinhot
宣晶, 付其迪, 谢淦, 薛凯, 雒海瑞, 魏泽, 赵明月, 智亮, 万华伟, 高吉喜, 李敏. 北方草地植物物种智能识别模型构建及应用. 植物学报, 2025 , 60 (1) : 74 -80 . DOI: 10.11983/CBB24027
Jing Xuan, Qidi Fu, Gan Xie, Kai Xue, Hairui Luo, Ze Wei, Mingyue Zhao, Liang Zhi, Huawei Wan, Jixi Gao, Min Li. An Artificial Intelligence Model for Identifying Grassland Plants in Northern China[J]. Chinese Bulletin of Botany, 2025 , 60 (1) : 74 -80 . DOI: 10.11983/CBB24027
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Year 2025 volume 60 Issue 1
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Article Info
doi: 10.11983/CBB24027
  • Receive Date：2024-02-23
  • Online Date：2026-10-27
  • Published：2025-01-10
Article Data
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History
  • Received：2024-02-23
  • Accepted：2024-06-21
Funding
Affiliations
    1Big Data and AI Biodiversity Conservation Research Center, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
    2China National Botanical Garden, Beijing 100093, China
    3Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China

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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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