說明
Pl@ntNet is a participatory botanical observation platform. More information about Pl@ntNet project can be found at https://plantnet.org/. The observations in this resource are the ones for which the authors agree to share the associated pictures under a creative common licence and for which the species name is considered as valid.
資料紀錄
此資源出現紀錄的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 29 筆紀錄。
此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。
版本
以下的表格只顯示可公開存取資源的已發布版本。
如何引用
研究者應依照以下指示引用此資源。:
AFFOUARD A, JOLY A, LOMBARDO J, CHAMP J, GOEAU H, CHOUET M, GRESSE H, BONNET P (2023): Pl@ntNet observations. v1.8. Pl@ntNet. Dataset/Occurrence. https://ipt.plantnet.org/resource?r=observations&v=1.8
權利
研究者應尊重以下權利聲明。:
此資料的發布者及權利單位為 Test Organization #1。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: 9e22f566-96f6-4035-8d2d-ec737acfa29d。 Test Organization #1 發佈此資源，並經由GBIF Secretariat同意向GBIF註冊成為資料發佈者。
關鍵字
Occurrence; Occurrence
聯絡資訊
- 出處
https://orcid.org/0000-0002-2161-9940
- 出處
- 出處
- 出處
- 出處 ●
- 連絡人
地理涵蓋範圍
Plant observations from Pl@ntNet network come from all around the world.
| 界定座標範圍 | 緯度南界 經度西界 [-90, -180], 緯度北界 經度東界 [90, 180] |
|---|
分類群涵蓋範圍
Pl@ntNet observations focus on plants.
| Kingdom | Plantae (Plant) |
|---|
計畫資料
PlantNet is a participatory botanical observation platform allowing to identify plants from photos (using deep learning) and share observations with the community. This resource contains illustrated observations explicitly shared by PlantNet users under a Creative Common license.
| 計畫名稱 | Pl@ntNet Observations Singapore |
|---|---|
| 辨識碼 | PN-obs-SG |
| 經費來源 | PlantNet is an open consortium founded by four French research organizations (CIRAD, Inria, INRAE, IRD) and supported by Agropolis Fondation. The two main funding resources are: (i) the annual contribution of the members of the consortium, (ii) donations from the end-users of PlantNet application (>10 million users). |
| 研究區域描述 | Entire world |
參與計畫的人員:
- 程式設計師
引用文獻
- Joly, A., Goëau, H., Bonnet, P., Bakić, V., Barbe, J., Selmi, S., ... & Yahiaoui I., Carré J., Mouysset E., Molino J.-f., Boujemaa B., Barthélémy D., (2014). Interactive plant identification based on social image data. Ecological Informatics, 23, 22-34. https://doi.org/10.1016/j.ecoinf.2013.07.006
- Joly, A., Bonnet, P., Goëau, H., Barbe, J., Selmi, S., Champ, J., Dufour-Kowalski, S., Affouard, A., Carré, J., Molino, J.-f., Boujemaa, N., & Barthélémy D., (2016). A look inside the Pl@ntNet experience. Multimedia Systems, 22(6), 751-766. https://doi.org/10.1007/s00530-015-0462-9
- Goëau, H., Bonnet, P., Joly, A., 2017. Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017). CLEF: Conference and Labs of the Evaluation Forum, Sep 2017, Dublin, Ireland. ⟨hal-01629183⟩ https://hal.archives-ouvertes.fr/hal-01629183
- Affouard, A., Goëau, H., Bonnet, P., Lombardo, J. C., & Joly, A., (2017). Pl@ntNet app in the era of deep learning. ICLR: International Conference on Learning Representations, Apr 2017, Toulon, France. ⟨hal-01629195⟩ https://hal.archives-ouvertes.fr/hal-01629195