Migel Tissera, Co-Founder and CTO of Metaspectral, says that technology has a significant role in improving agriculture sustainability.
“Automation of manual labor is an obvious application, but there is also a significant opportunity in utilizing technologies like advanced spectral analysis for precision farming,” said Tissera. “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 GHG mapping, quantifying carbon sequestration, measuring chlorophyll levels, detecting crop diseases, and measuring soil moisture content.
“The main advantage of utilizing data pulled from satellite observation is its scalability,” said Tissera. “It allows us to analyze vast swaths of land, which is complementary to aerial platforms such as drones, where that data is much more localized.”
Tissera says that with data from space observation, they can create models that cover more extensive parts of the atmosphere, giving a god’s-eye view of the land.
“This makes it possible to create greenhouse gas models that span entire provinces and countries,” said Tissera. “By zooming out and getting a broader, more holistic view, we can then create policies and legislation at the national level.”
