Select Language

AI社区

公开数据集

毛里求斯大学农场附近的植物树叶数据集

毛里求斯大学农场附近的植物树叶数据集

1.8G
508 浏览
0 喜欢
18 次下载
0 条讨论
Agriculture Classification

Data Set Information:- The leaves were placed on a white background and then photographed. - The pictures were taken in......

数据结构 ? 1.8G

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    - The leaves were placed on a white background and then photographed.
    - The pictures were taken in broad daylight to ensure optimum light intensity.


    Attribute Information:

    List of plant species:
    1. Beaumier du perou
    2. Eggplant
    3. Fruitcitere
    4. Guava
    5. Hibiscus
    6. Betel
    7. Rose
    8. Chrysanthemum
    9. Ficus
    10. Duranta gold
    11. Ashanti blood
    12. Bitter Orange
    13. Coeur Demoiselle
    14. Jackfruit
    15. Mulberry Leaf
    16. Pimento
    17. Pomme Jacquot
    18. Star Apple
    19. Barbados Cherry
    20. Sweet Olive
    21. Croton
    22. Thevetia
    23. Vieux Garcon
    24. Chocolate tree
    25. Carricature plant
    26. Coffee
    27. Ketembilla
    28. Chinese guava
    29. Lychee
    30. Geranium
    31. Sweet potato
    32. Papaya


    Relevant Papers:

    Munisami, T., Ramsurn, M., Kishnah, S. and Pudaruth, S., 2015. Plant leaf recognition using shape features and colour histogram with k-nearest neighbour classifiers. Procedia Computer Science (Elsevier) Journal. 58, pp. 740-747.


    Citation Request:

    Munisami, T., Ramsurn, M., Kishnah, S. and Pudaruth, S., 2015. Plant leaf recognition using shape features and colour histogram with k-nearest neighbour classifiers. Procedia Computer Science (Elsevier) Journal. 58, pp. 740-747.


    The leaves were taken from plants in the farm of the University of Mauritius and nearby locations.

    Donors:

    Trishen Munisami
    trishen.munisami '@' gmail.com

    Mahess Ramsurn
    ramsurn.mahess '@' umail.uom.ac.mu

    Somveer Kishnah
    s.kishnah '@' uom.ac.mu

    Sameerchand Pudaruth
    sameerchand.pudaruth '@' gmail.com

    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:6 去赚积分?
    • 508浏览
    • 18下载
    • 0点赞
    • 收藏
    • 分享