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12/09/2017

Can Artificial Intelligence Help Feed The World?

With the digital transition, farm data is becoming both more rich and robust. The availability of this data is paving the way to develop and deploy AI in agriculture.

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Increased consumption drives increased demand for agricultural production. Growers around the globe are meeting this challenge, but they must do so in a manner that does not irreparably strain the planet’s resources. To balance the sometimes-opposing goals of increasing production and conserving resources, researchers and entrepreneurs are working on ways to sustainably intensify agriculture on its existing footprint. These researchers and entrepreneurs have access to the tools of plant genetics, chemistry, agronomics, and machinery. However, today there is also a new tool, Artificial Intelligence (AI).

While AI has become a mainstay of the tech community, many of the major ag input companies, equipment manufacturers, and service providers have yet to vigorously pursue AI applications in agriculture. Additionally, the development of AI algorithms can be challenging in an agricultural setting. In agriculture, while there is a significant amount of spatial data, much of the data is only available once per year during the growing season. 

Author: Ryan Rakestraw and Amrit Acharya
This article is incomplete. Click here to read the full text from its original source, forbes
Photo Credit: Ketzirah Lesser & Art Drauglis
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