Data volume is growing by up to 20% every year and is expected to hit 175 zettabytes in the next 2-3 years. This massive amount of data comes from a wide range of sources, including scientific research, and is used by both science and business for analysis. By analyzing alternative data alongside our own experimental data, we can gain deeper insights and make better decisions. Ecosystem models, which simplify complex systems into mathematical frameworks, benefit greatly from incorporating diverse data sources like experimental data, geodata, weather data, genotyping data, and phenotyping data. This helps improve predictions and decision-making. We are committed to building a collaborative network to create a global benchmark database on crop management, growth, and GHG emissions.
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