Visualizing South Africa’s Drought

Every year, South Africa yields one of the largest agricultural harvests on the African continent, producing megatonnes of both staple cereals as well as valuable export products like citrus and wines.  However, the worst drought in a century, now in its second year, has wreaked havoc on production and driven up food prices across the region. South Africa is expected to import more than 2 million tonnes of maize in 2016/2017 to make up for the shortfall in domestic production of the crop, which is its most important staple food.[1]

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The Power of Data Analytics in Agriculture: Crop Suitability Assessments

It’s an indisputable scientific fact that the world’s climate is changing.  Many places on the planet are becoming hotter, while others are becoming colder, wetter, and/or drier.  Storms are becoming more commonplace and more extreme.  As a recent example,  Hurricane Matthew has caused record flooding along both the eastern seaboard and hundreds of miles inland in the United States.[1] Both monumental weather events, like hurricanes, and more subtle systematic changes that are occurring all around us are making agriculture more uncertain and thus more expensive for producers and consumers.  aWhere tackles the uncertainty associated with a changing climate bydeveloping tools and insights to understand what these changes mean for particular crops, and what the agricultural earth might look like in the future, through its crop suitability assessments.

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Tunisia’s Dry, but How Dry?


Late last month, the Associate Press reported that Tunisians are calling for better policy and assistance, as the small North African country battles drought.  These stories illustrate the need now, more than ever, for data and analytics that can help decision-makers understand the significance and potential impact of the country’s adverse weather.  Fortunately, agricultural intelligence, in the form of localized weather data provided by aWhere, provides insight into the unfolding situation in North Africa.

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