Crop modeling employs advanced mathematical and computational techniques to simulate and predict crop growth, development, and yield across a wide range of environmental conditions. Crop modeling and quantitative genetics have…
Scientists from Argonne National Laboratory are set to present their latest achievements in simulations, algorithm development, AI, and software at the upcoming SC23. Scientists from the U.S. Department of Energy’s…
4-Day Workshop on Environment Modeling Based Requirements Engineering concluded today. The workshop was conducted by Prof. Zhi Jin of Peking University and Prof. Xiohang Chen. This 4-day workshop Environment Modeling…