In order to create the first map of global vegetation, researchers at the University of Valencia, Spain, collected satellite observation data made available by Google. The researchers then used an artificial intelligence program specially developed for the occasion to analyze this data and produce color-coded maps. Read More Info On
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Satellites have collected spatial and temporal observations, and this has resulted in a series of maps that highlight different biophysical parameters. Previously, as researcher Álvaro Moreno explains, it was impossible to produce such maps because the machine learning statistics tools and the data used were not available.
Big Data and AI will help determine which areas are most suitable for agriculture
The purpose of these maps is to determine which areas of the world are most suitable for agriculture, and which are the areas where environmental conditions change in response to climate change. They allow highlighting the amount of phosphorus and nitrogen in the soil.
However, alongside oxygen, carbon, and sulfur, these are the main chemical elements incorporated into living systems.
They make it possible to determine whether or not a zone is suitable for agriculture because plants require a large amount of nitrogen and phosphorus, which is found in the soil in the form of nitrates and phosphates. These maps also make it possible to verify the efficiency with which water is used for agriculture, or to analyze the biodiversity of the Earth.
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The next step will be to use technology to analyze the impact of climate change. Big Data and AI could also help address issues such as the amount of food to be produced to cope with the growth of the world's population, and help develop new technologies such as biofuel production. Get More Points On Big Data Hadoop Training