009 Big Data is Helping in Wildlife Conservation
1. Objective
1. 目标
Big data is on the boom these days as it has been helping every field to improve the services and manage things in a better manner. Conservation of nature is one of the important areas where Big Data has come up as “Gift Of GOD” in saving the wildlife. Let us see few of the projects of Big Data in Wildlife Conservation that has used Big data and Machine Learning as their key components.
如今，大数据正在蓬勃发展，因为它一直在帮助每个领域以更好的方式改进服务和管理事物.自然保护是其中之一大数据出现的重要领域作为拯救野生动物的 “上帝的礼物”.让我们看看在野生动物保护中使用的大数据项目很少大数据机器学习是他们的关键组成部分.
Big Data is Helping in Wildlife
Big Data is Helping in Wildlife Conservation
2. Big Data in Wildlife Conservation
2. 大数据的野生动物保护
In this section, various projects are discussed below which shows the aid of Big Data in Wildlife Conservation.
在本节中，下面将讨论各种项目，这些项目展示了大数据对野生动物保护的帮助.
i. The Great Elephant Census
I. 普查的大象
In Africa alone, more than 12,000 elephants have been killed each year since 2006 and if this goes on, that day is not far when there will not be any elephant left on this planet. The protection of the ecosystem is vital not only to wildlife but the communities around them to complete the ecosystem cycle and Big Data is helping in the same. In 2014, a survey The Great Elephant Census was launched by Microsoft co-founder Paul Allen to achieve a greater understanding of elephants number in Africa. 90 researchers traversed over 285,000 miles of the African continent, over 21 countries to conduct this research.
One of the largest raw data sets was created in this survey. The survey has shown that African elephant numbers has become only 352,271 in 18 countries and has gone down by 30% in seven years. This highlighted the need for on-going monitoring to make ensure better response times to emergency situations. Big Data is having a huge impact on conservation efforts that is going to help protect the Elephant population of Africa.
仅在非洲，自 2006年以来，每年就有超过 12,000 头大象被杀死，如果这种情况继续下去，那一天离地球上没有大象的日子不远.保护生态系统不仅对野生动物至关重要，对它们周围的社区也至关重要，以完成生态系统循环和大数据也有同样的帮助.2014 年，微软联合创始人保罗·艾伦发起了一项调查 “大象普查”，以更好地了解非洲的大象数量.为了进行这项研究，90 名研究人员穿越了非洲大陆 285,000 英里，超过 21 个国家.
这项调查创建了最大的原始数据集之一.调查显示，非洲大象数量在 18 个国家中仅占 352,271，在 7 年内下降了 30%.这突出表明需要持续监测，以确保对紧急情况有更好的反应时间.大数据这将对保护非洲大象的努力产生巨大影响.
ii. eBird
Ii.EBird
This project was launched in 2002. It is an app that helps users’ in recording bird sightings as they find any and input this data into the app. The app was created with a target to help create usable Big Data sets that could be of value to professional and recreational bird watchers. These data sets are then being shared with professionals like teachers, land managers, ornithologists, biologists and conservation workers who have used this data to create BirdCast, a regional migration forecast giving real-time predictions of bird migration for the first time ever. This uses machine learning to predict migration and roosting patterns of different species of birds. This will provide benefits by providing more accurate intelligence for land planning and management and allowing necessary preparations for areas prone to roosting bird gatherings.
该项目于 2002年启动.这是一个应用程序，可以帮助用户在发现任何鸟类时记录它们的踪迹，并将这些数据输入到应用程序中.该应用程序是用目标创建的，以帮助创建可用的大数据对专业和休闲观鸟者来说有价值的套装.然后，这些数据集将与教师、土地管理人员、鸟类学家、生物学家和保护工作者等专业人员共享，他们利用这些数据创建了鸟类模型, 一个区域迁徙预测首次给出了鸟类迁徙的实时预测.这使用机器学习来预测不同鸟类的迁徙和栖息模式.这将为土地规划和管理提供更准确的情报，并为容易栖息鸟类聚集的地区进行必要的准备，从而带来好处.
iii. Earthcube Project
Iii.Earthcube 项目
This project was launched 5 years ago with an aim to produce a living 3D replica of Earth to serve scientists of different disciplines. Computer science and big data have been used to build interconnected projects that are used in this project. Earthcube funds a variety of projects like the Coral Reef Science & Cyber infrastructure-Network (CRESCYNT). Species databases, image analysis software and 3d mapping are used to monitor the decline of the coral reef’s structural changes, coral disease and bleaching and sea temperatures. This research will finally lead to a greater understanding to help preserve coral reef.
Read more Real-life case studies of Big Data. We would love to hear from you if you have an idea of any other similar projects for saving the wildlife and indirectly saving the planet EARTH.
这个项目是在 5 年前启动的，目的是为不同学科的科学家制作一个活生生的地球 3D 复制品.计算机科学和大数据已经被用来构建这个项目中使用的相互关联的项目.Earthcube 为珊瑚礁科学和网络基础设施网络等各种项目提供资金.物种数据库、图像分析软件和 3d 地图被用来监测珊瑚礁结构变化、珊瑚疾病、漂白和海水温度的下降.这项研究最终将有助于对保护珊瑚礁有更多的了解.
阅读更多关于大数据的真实案例研究.如果你对拯救野生动物和间接拯救地球的任何其他类似项目有想法，我们很乐意收到你的来信.
https://data-flair.training/blogs/big-data-in-wildlife-conservation
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