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Big data to help coffee farmers adapt to climate change If you are unable to listen to this audio, please update your browser or click here to download the file (https://api.soundcloud.com/tracks/205416489/download? client_id=b45b1aa10f1ac2941910a7f0d10f8e28&oauth_token=1-1634347894121-334d8206d82f348) [8.4 MB] Coffee plants are particularly sensitive to changes in temperature. As climate change (http://www.scidev.net/global/environment/climatechange/) warms the regions where coffee is traditionally grown, farmers have to move their plantations to higher ground. New research warns that in many countries coffee production may even disappear altogether [1]. A UK based startup, WeatherSafe (http://www.weathersafe.co.uk/), has developed software that combines satellite images with big data (http://www.scidev.net/global/enterprise/data/) on agricultural (http://www.scidev.net/global/agriculture/) production, in an effort to support farmers (http://www.scidev.net/global/agriculture/farming/) in their adaptation efforts. The software creates a virtual model of each plantation to analyse its behaviour and changing biochemistry, providing farmers with real time information on the health (http://www.scidev.net/global/health/) and needs of the plants, straight to their mobiles. All of this for just six British pounds per year. Lou Del Bello reports.
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References
[1] Projected Shifts in Coffea arabica Suitability among Major Global Producing Regions Due to Climate Change (http://journals.plos.org/plosone/article? id=10.1371%2Fjournal.pone.0124155) We encourage you to republish this article online and in print, it’s free under our creative commons attribution license, but please follow some simple guidelines: 1. You have to credit our authors. 2. You have to credit SciDev.Net — where possible include our logo (http://www.scidev.net/global/content/followus.html#Link%20to%20us) with a link back to the original article. 3. You can simply run the first few lines of the article and then add: “Read the full article on SciDev.Net” containing a link back to the original article. 4. If you want to also take images published in this story you will need to confirm with the original source if you're licensed to use them. 5. The easiest way to get the article on your site is to embed the code below. For more information view our media page and republishing guidelines (http://www.scidev.net/global/content/media.html#Using%20SciDev.Net%20material). The full article is available here as HTML. <div class="articlewrap"> <div id="articleintroduction"> <h1>Big data to help coffee farmers adapt to climate change</h1> <h4>By Lou Del Bello</h4> </div> <br /> <br /> <div id="articlebody"><iframe frameborder="no" height="166" scrolling="no" src="https://w.soundcloud.com/player/? url=https%3A//api.soundcloud.com/tracks/205416489&color=ff5500&auto_play=false&hide _related=false&show_comments=true&show_user=true&show_reposts=false" width="100%"></iframe><br /> <em>If you are unable to listen to this audio, please update your browser or <a href="https://api.soundcloud.com/tracks/205416489/download? client_id=b45b1aa10f1ac2941910a7f0d10f8e28&oauth_token=11634347894121 334d8206d82f348">click here to download the file</a></em> <em>[8.4 MB]</em><br /> Related topics: Biodiversity (/global/environment/biodiversity/) Data (/global/enterprise/data/) Agriculture (/global/agriculture/) Climate change (/global/environment/climate-change/) Farming (/global/agriculture/farming/)
14/05/15 Lou Del Bello (/global/author.lou-delbello.html)
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