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Taranis tool for crop emergence and stand count

05-02-2019 | |
A Taranis AI2 image showing crop identification and count done by deep learning-based software
A Taranis AI2 image showing crop identification and count done by deep learning-based software

Taranis launched a new solution that monitors crop emergence and maximizes fertiliser programs.

Taranis, based in Tel Aviv, Israel, adds the crop emergence and stand count solution to its precision agriculture intelligence platform. Using this new solution, farmers can survey their fields after planting season. According to Taranis, farmers can take targeted tissue and soil samples in order to create management zones and maximise their fertiliser programs.

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A Taranis AI2 image showing crop identification and count done by deep learning-based software. - Photos: Taranis

A Taranis AI2 image showing crop identification and count done by deep learning-based software. – Photos: Taranis

A drone is flown over the field. Taranis’ AI2 proprietary imaging pod captures hundreds of sub-millimeter images on a single field, or thousands of images in a given flight. Each image is then scrutinized by Taranis’ deep learning engine to quickly identify and count each emerging plant.

A second set of algorithms is run to calculate the spacing, density and plant characteristics of each row, while a third set of analysis creates the clear visualization of emergence in the form of a heat map.

Also read: Taranis gets $ 20 million in funding for AI-technology

The tool creates heat maps and easy-to-read reports. Using those, growers can review their fields quickly to make timely management decisions.

According to Ofir Schlam, CEO of Taranis, “This first-of-its-kind crop emergence and stand count product can continually and rapidly take samples throughout the field, providing farmers with new tools that will make emergence-based decisions easier.”

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Taranis field emergence insight.

Taranis field emergence insight.

Grain yields could improve using the new solution. Taranis says that studies confirm that uneven emergence or loss of seeds can affect grain yields by up to 6-7%, or roughly a loss of 12 bushels per harvest.

“As seed is one of the highest inputs a grower deals with on a yearly basis, this can be catastrophic for a farmer’s bottom line. By surveying the fields after planting season with our technology, customers can take targeted tissue and soil samples to create management zones, ultimately maximizing fertiliser programs.”

Also read: Taranis sees huge potential in Brazilian agriculture

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Claver
Hugo Claver Web editor for Future Farming





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