Analytics for climate-uncertainty estimation and propagation in maize-phenotype predictions

Agriculture & Biology

• uncertainty 66%
• climate 53%
• statistics 49%
• prediction 45%
• phenotype 44%
• environmental factors 42%
• corn 41%
• dewpoint 38%
• variance covariance matrix 37%
• weather 34%
• solar radiation 23%
• cumulative distribution 21%
• wind direction 18%
• artificial intelligence 15%
• statistical models 15%
• wind speed 15%
• time series analysis 15%
• genome 14%
• crops 14%
• population growth 12%
• crop yield 11%
• relative humidity 11%
• climate change 11%
• researchers 11%
• methodology 10%
• rain 10%
• temperature 5%

Engineering & Materials Science

• Genetics 90%
• Crops 55%
• Statistics 50%
• Uncertainty 41%
• Solar radiation 35%
• Genomics 34%
• Covariance matrix 34%
• Sensitivity analysis 29%
• Climate change 18%
• Rain 18%
• Distribution functions 17%
• Statistical Models 15%
• Atmospheric humidity 14%
• Time series 14%
• Temperature 13%
• Machine learning 12%

Chemical Compounds

• Dew Point 100%
• Solar Radiation 88%
• Distribution Function 40%
• Environment 37%
• Humidity 30%
• Reaction Yield 27%
• Food 23%
• Time 12%