Administrator for the agency, Jim Bridenstine, will speak to, and take questions from the media about how the tech is now used to cultivate farms, predict crop yields and manage water resources.
Taking place on February 12 during the World Agriculture Expo in California, he will take part in a news conference to talk about how technologies and data made possible by NASA research, development and investment, are re-purposed to improve numerous aspects of agriculture.
The administrator will also meet with representatives of AeroVironment, a firm that develops drones and data analytics software that farmers can use to monitor the health of their crops and increase efficiencies and profitability.
Last week, Commercial Drone Professional reported on how Taranis, an Israeli-based drone firm, has launched its new precision agriculture solution that calculates and monitors the planting of seeds.
Taranis has launched its new precision agriculture solution that calculates and monitors the planting of seeds.
The Israel-based firm says the product utilises its fleet of UAVs to provide customers with protection against crop threats.
The company is hoping this addition of an emergence solution to the company’s offering reflects its vision to become the single-most comprehensive precision agriculture intelligence platform provider.
Ofir Schlam, CEO of Taranis, said: “Taranis understands the value of emergence in crops and supplying farmers with the necessary tools to increase crop yields has been our priority since day one.
He added: “We have grown to accommodate our customers’ needs, offering products that utilize Taranis’ unmatched fleet of UAV’s to provide unparalleled protection against crop threats. 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.”
As part of its solution, Taranis flies a drone over a field using the company’s AI2 proprietary pod, which captures hundreds of sub-millimetre images on a single field, or thousands of images in a given flight.
Then, each image is scrutinised 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 visualisation of emergence in the form of a heat map.
This allows customers to access heat maps and reports to make management decisions and enable them to optimise results, with personalised, efficient solutions.
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