Viewpoint: Satellites, artificial intelligence and smart machines are key to addressing the sustainability challenges of agriculture and the social challenges of the future

Migel Tissera, co-founder and CTO of Metaspectral, says technology plays an important role in improving the sustainability of agriculture.

“Automating manual labor is an obvious application, but there is also significant opportunity in using technologies such as advanced spectral analysis for precision agriculture,” Tissera said. “When spectral data, which contains information from across the electromagnetic spectrum, is analyzed using deep learning, it is possible to identify the material composition of what is captured in the images.”

Tissera says that with this data, you can create environmental models for mapping GHGs, quantifying carbon sequestration, measuring chlorophyll levels, detecting crop disease, and measuring soil moisture content. floor.

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“The main advantage of using data extracted from satellite observation is its scalability,” Tissera said. “It allows us to analyze large swathes of terrain, which is complementary to aerial platforms such as drones, where that data is much more localized.”

Tissera says that with data from space observations, they can create models that cover larger parts of the atmosphere, giving a big picture view of the earth.

“This makes it possible to create greenhouse gas models that span entire provinces and countries,” Tissera said. “By zooming out and getting a broader, more holistic view, we can then create policies and legislation at the national level.”

This is an excerpt. Read the original article here

James G. Williams