Sentence examples for crop simulation models from inspiring English sources

Ewert, F. et al. Effects of elevated CO2 and drought on wheat: testing crop simulation models for different experimental and climatic conditions.

Crop simulation models will gain wider acceptance if they are robust, accessible and easy to use.

Familiarity using basic machine learning techniques such as random forests and support vector machines, and/or crop simulation models is desired.

These include crop simulation models, expert systems, GIS, and multiple goal linear programming (MGLP) models for land evaluation and optimization.

Crop simulation models are commonly used to forecast the performance of cropping systems under different hypotheses of change.

This study will present possible ways to integrate multi-scale weather/climate information and process-based crop simulation models to better adapt to climate variability and thus improve agricultural production.

The VegSyst crop simulation model was developed to simulate daily crop biomass production, N uptake and crop evapotranspiration (ETc).

Therefore, breeding programs should consider these traits suggested by this system analysis using a crop simulation model for the identification of suitable cultivars under the projected future climate.

Further research will combine these results with a crop simulation model to help optimize nitrogen and water management for silage maize.

The direct use of climate predictions from the CMIP3 ensemble in conjunction with a crop simulation model is not possible because of the coarse spatial resolution of GCMs resulting in significant errors and large uncertainty in their output at a local scale, particularly for precipitation.

We utilized a validated crop simulation model to evaluate crop response to different N rates at specific zones in the field based on localized soil and landscape properties under rainfed conditions.