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[#]: subject: (Identify flowers and trees with this open source mobile app)
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[#]: via: (https://opensource.com/article/21/7/open-source-plantnet)
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[#]: author: (Don Watkins https://opensource.com/users/don-watkins)
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[#]: collector: (lujun9972)
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[#]: translator: (geekpi)
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[#]: reviewer: ( )
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[#]: publisher: ( )
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[#]: url: ( )
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Identify flowers and trees with this open source mobile app
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======
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PlantNet combines open source technology with crowdsourced knowledge to
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help you become an amateur botanist.
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![Fire pink flower in Maggie Valley, NC][1]
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Where I live, there are lots of trails and roads lined with flowers and trees. My community is famous for its annual maple festival, and maple trees are easy for me to identify. However, there are many other trees I cannot identify by name. Flowers are the same: dandelions are easy to spot, but I don't know the names of the wildflowers that line my walking path.
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Recently my wife told me about PlantNet, a mobile application that can identify these flowers and trees. It's available on iOS and Android, and it's free, so I decided to try it out.
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### Identifying plants the open source way
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I downloaded the app on my phone and began using it to identify some of the flowers and trees on my walks around the village. As I became familiar with the app, I noticed that the pictures I took (and those taken by other users) are shared with a Creative Commons Attribution-ShareAlike (CC-BY-SA) license. Further investigation revealed that PlantNet is [open source][2]. You can use the application anonymously if you like or become a registered member of the community.
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According to the [Cos4Cloud][3] citizen science project, "PlantNet is a participatory citizen science platform for collecting, sharing, and reviewing plant observations based on automated identification. Its objective is to monitor plant biodiversity and facilitate access to plant knowledge by the general public." It uses image-recognition techniques to inventory biodiversity.
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The project's development began in 2009 by botanists and computer scientists in France. It started out as a [web application][4], and the smartphone app launched in 2013. The project is part of the [Floris'Tic][5] initiative, another French project that aims to promote scientific, technical, and industrial culture in plant sciences.
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PlantNet allows users to utilize a smartphone's camera to collect visual specimens, which are identified by software and the community. These photos are then shared with millions of people worldwide who are part of the PlantNet network.
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The project says, "The PlantNet system works by comparing visual patterns transmitted by users via photos of plant organs (flowers, fruits, leaves …) that they seek to determine. These images are analyzed and compared to an image bank produced collaboratively and enriched daily. The system then offers a possible list of species with its illustrations."
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### Using PlantNet
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The mobile application is easy to use. Launch it from the app's icon on your smartphone.
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![PlantNet smartphone icon][6]
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(Don Watkins, [CC BY-SA 4.0][7])
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When the application opens, you see the specimens you've already collected in your library. The Camera icon at the bottom of the display allows you to use your camera to add pictures to your photo library.
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![Pl@ntnet homescreen][8]
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(Don Watkins, [CC BY-SA 4.0][7])
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Choose the Camera option, and point your phone's camera at a tree or flower you want to identify. After you take the picture, click on the option (leaf, flower, bark, fruit, and so on) that matches the specimen you want to identify.
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![Selecting plant type to identify][9]
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(Don Watkins, [CC BY-SA 4.0][7])
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For example, if you're trying to identify a specimen by its leaf characteristics, choose **leaf**. PlantNet assigns a degree of certainty about its identification, ranging from a high to a low percentage. You can also use your smartphone's GPS function to add location information to your data collection automatically, and you can also add a note.
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![Identified plant][10]
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(Don Watkins, [CC BY-SA 4.0][7])
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You can access all the observations you have uploaded and keep track of whether the community has approved them either on your smartphone or by logging into the website with your user ID (if you create an account). From the web interface, you can also download a record of your observations in CSV or spreadsheet formats.
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![Pl@ntnet provides user stats][11]
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(Don Watkins, [CC BY-SA 4.0][7])
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### The great outdoors
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I particularly enjoy that PlantNet links to Wikipedia so that I can read more information about the plant data I collect.
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There are currently approximately 12 million PlantNet users worldwide, so the data set is growing all the time. The application is free to use for up to 500 requests per day. It also features an API that delivers data in JSON format, so you can even use Pl
antNet's visual identification engine as a web service.
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One very nice thing about PlantNet is that it combines crowdsourced knowledge and open source technology to connect users to each other and with the great outdoors. There's no better reason to support open source software than this.
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A complete description of the application and its developers is available on [YouTube][12] (in French with English subtitles). You can also learn more about the project on [PlantNet][13]'s website.
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--------------------------------------------------------------------------------
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via: https://opensource.com/article/21/7/open-source-plantnet
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作者：[Don Watkins][a]
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选题：[lujun9972][b]
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译者：[译者ID](https://github.com/译者ID)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://opensource.com/users/don-watkins
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[b]: https://github.com/lujun9972
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[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/fire-pink-flower-maggie-valley.jpg?itok=q6Ev7TSr (Fire pink flower in Maggie Valley, NC)
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[2]: https://github.com/plantnet
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[3]: https://cos4cloud-eosc.eu/citizen-science-innovation/cos4cloud-citizen-observatories/plntnet/
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[4]: https://identify.plantnet.org/
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[5]: http://floristic.org/
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[6]: https://opensource.com/sites/default/files/uploads/plantnet-icon.jpg (PlantNet smartphone icon)
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[7]: https://creativecommons.org/licenses/by-sa/4.0/
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[8]: https://opensource.com/sites/default/files/uploads/plantnet_camera.jpg (Pl@ntnet homescreen)
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[9]: https://opensource.com/sites/default/files/uploads/plantnet_plant-type.jpg (Selecting plant type to identify)
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[10]: https://opensource.com/sites/default/files/uploads/plantnet-identification.jpg (Identified plant)
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[11]: https://opensource.com/sites/default/files/uploads/plantnet_user-stats.jpg (Pl@ntnet provides user stats)
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[12]: https://www.youtube.com/watch?v=W_cBqaPfRFE
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[13]: https://plantnet.org/
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@ -0,0 +1,98 @@
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[#]: subject: (Identify flowers and trees with this open source mobile app)
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[#]: via: (https://opensource.com/article/21/7/open-source-plantnet)
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[#]: author: (Don Watkins https://opensource.com/users/don-watkins)
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[#]: collector: (lujun9972)
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[#]: translator: (geekpi)
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[#]: reviewer: ( )
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[#]: publisher: ( )
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[#]: url: ( )
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用这个开源移动应用来识别花草和树木
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======
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PlantNet 将开源技术与众包知识结合起来，帮助你成为业余植物学家。
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![Fire pink flower in Maggie Valley, NC][1]
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在我居住的地方，有很多小路和道路两旁都有花草树木。我所在的社区因其每年的枫树节而闻名，枫树对我来说很容易识别。然而，还有许多其他的树我无法识别名字。花也是如此：蒲公英很容易发现，但我不知道在我的步行道上的野花的名字。
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最近，我的妻子告诉我了 PlantNet，一个可以识别这些花草和树木的移动应用。它可以在 iOS 和 Android 上使用，而且是免费的，所以我决定试试。
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### 以开源的方式识别植物
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我在手机上下载了这个应用程序，开始用它来识别我在村子周围散步时的一些花草和树木。随着我对这个应用的熟悉，我注意到我拍摄的图片（以及其他用户拍摄的图片）是以知识共享署名-相同方式共享（CC-BY-SA）的许可方式共享的。进一步的调查显示，PlantNet 是[开源][2]的。如果你喜欢，你可以匿名使用该应用，或者成为社区的注册成员。
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根据 [Cos4Cloud][3] 公民科学项目，“PlantNet 是一个参与性的公民科学平台，用于收集、分享和审查基于自动识别的植物观察结果。它的目标是监测植物的生物多样性，促进公众对植物知识的获取”。它使用图像识别技术来清点生物多样性。
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该项目的开发始于 2009 年，由法国的植物学家和计算机科学家进行。它最初是一个[网络应用][4]，而智能手机应用程序于 2013 年推出。该项目是 [Floris'Tic][5] 倡议的一部分，这是法国的另一个项目，旨在促进植物科学的科学、技术和工业文化。
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PlantNet 允许用户利用智能手机的摄像头来收集视觉标本，并由软件和社区进行识别。然后，这些照片将与全世界数百万加入 PlantNet 网络的人分享。
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该项目说：“PlantNet 系统的工作原理是比较用户通过他们寻求确定的植物器官（花、果实、叶……）的照片传送的视觉模式。这些图像被分析，并与每天协作制作和充实的图像库进行比较。然后，该系统提供一个可能的物种清单及其插图”。
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### 使用 PlantNet
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该应用很容易使用。从你的智能手机上的应用图标启动它。
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![PlantNet smartphone icon][6]
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（Don Watkins, [CC BY-SA 4.0][7]）
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当应用打开时，你会看到你已经在资料库中收集的标本。显示屏底部的相机图标允许你使用你的相机将图片添加到你的照片库。
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![Pl@ntnet homescreen][8]
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（Don Watkins, [CC BY-SA 4.0][7]）
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选择“相机”选项，将手机的摄像头对准你想识别的树木或花草。拍完照后，点击与你想识别的标本相匹配的选项（叶、花、树皮、果实等）。
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![Selecting plant type to identify][9]
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(Don Watkins, [CC BY-SA 4.0][7])
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例如，如果你想通过叶子的特征来识别一个标本，请选择**叶子**。PlantNet 对其识别的确定程度进行了分配，从高到低的百分比不等。你还可以使用你的智能手机的 GPS 功能，将位置信息自动添加到你的数据收集中，你还可以添加注释。
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![Identified plant][10]
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（Don Watkins, [CC BY-SA 4.0][7]）
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你可以在你的智能手机上或通过你的用户 ID（如果你创建了一个账户）登录网站，访问你上传的所有观测数据，并跟踪社区是否批准了它们。从网站界面上，你也可以下载 CSV 或电子表格格式的观察记录。
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![Pl@ntnet provides user stats][11]
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（Don Watkins, [CC BY-SA 4.0][7]）
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### 很好的户外活动
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我特别喜欢 PlantNet 与维基百科的链接，这样我就可以阅读更多关于我收集的植物数据的信息。
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目前全球大约有 1200 万 PlantNet 用户，所以数据集一直在增长。该应用是免费使用的，每天最多有 500 个请求。它还有一个 API，以 JSON 格式提供数据，所以你甚至可以把 Pl antNet 的视觉识别引擎作为一个网络服务使用。
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PlantNet 的一个非常好的地方是，它结合了众包知识和开源技术，将用户相互联系起来，并与很好的户外活动联系起来。没有比这更好的理由来支持开源软件了。
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关于该应用及其开发者的完整描述可在 [YouTube][12] 上找到（有法语、英文字幕）。你也可以在 [PlantNet][13] 的网站上了解更多该项目。
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--------------------------------------------------------------------------------
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via: https://opensource.com/article/21/7/open-source-plantnet
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作者：[Don Watkins][a]
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选题：[lujun9972][b]
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译者：[geekpi](https://github.com/geekpi)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://opensource.com/users/don-watkins
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[b]: https://github.com/lujun9972
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[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/fire-pink-flower-maggie-valley.jpg?itok=q6Ev7TSr (Fire pink flower in Maggie Valley, NC)
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[2]: https://github.com/plantnet
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[3]: https://cos4cloud-eosc.eu/citizen-science-innovation/cos4cloud-citizen-observatories/plntnet/
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[4]: https://identify.plantnet.org/
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[5]: http://floristic.org/
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[6]: https://opensource.com/sites/default/files/uploads/plantnet-icon.jpg (PlantNet smartphone icon)
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[7]: https://creativecommons.org/licenses/by-sa/4.0/
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[8]: https://opensource.com/sites/default/files/uploads/plantnet_camera.jpg (Pl@ntnet homescreen)
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[9]: https://opensource.com/sites/default/files/uploads/plantnet_plant-type.jpg (Selecting plant type to identify)
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[10]: https://opensource.com/sites/default/files/uploads/plantnet-identification.jpg (Identified plant)
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[11]: https://opensource.com/sites/default/files/uploads/plantnet_user-stats.jpg (Pl@ntnet provides user stats)
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[12]: https://www.youtube.com/watch?v=W_cBqaPfRFE
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[13]: https://plantnet.org/
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