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Satshot Connects with John Deere.

Fargo, ND, September 29, 2016 --( Satshot Connects Landscout[TM] with John Deere API

Satshot's Landscout[TM] IOS mobile software is now connected with the John Deere Operations Center through John Deere's API services. Landscout allows the user (or operator) to classify, manage, merge, and export attributed image VRA zone-maps directly to the Operations Center.

Every user has quick access to crop health maps of their fields in Landscout. By instantly exporting these image maps into the Operations Center, this creates the most economical and actionable method for variable rate application mapping in agriculture. There by expanding the viable use cases for real-time imagery and defining precision, yet again.

With the tools that Landscout now provides, users are able to view the latest imagery, live in the field. Agronomists and growers can can ground truth the data while scouting, make an agronomic recommendation, create the prescription, and send it to the display in real-time, to any JDLink enabled machine from John Deere.

Satshot and John Deere have collaborated to bring export capabilities of VRA maps from Landscout directly into the operations center and that partnership has resulted in customers adding their own agronomic attribute information to efficiently manage crop inputs. This allows them to leverage the John Deere infrastructure, giving them a single platform to turn their own satellite crop health maps into actionable data.

"Finally, a process that is efficient, timely, and cost-effective for the consultant and the grower.The result is more profit, better management, and one of the easiest adoptions of precision ag techniques in the market today," exclaims Lanny Faleide, President of Satshot.

About Satshot:

Satshot, is a world leader in remote sensing imagery analytics for the Precision agriculture and crop insurance industries, providing a one-stop center for distribution of agricultural imagery and tools through its web based geo - spatial imagery archive across the world, creating near real-time information for actionable use on detecting changing vegetative biomass conditions for variable rate application.

Contact Information:


Lanny Faleide


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Date:Sep 29, 2016
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