Sentence examples for simulation of crop from inspiring English sources

A correct simulation of crop responses to water stress is essential for a system model.

The methodology is based on biophysical simulation of crop growth and nitrogen leaching (WAVE) in combination with economic optimisation (linear programming) and enables a normative environmental-economic evaluation of site specific N-management to be made.

Evaluation with the measured data showed that performance of both models was realistic as indicated by the accurate simulation of crop phenology, LAI, biomass and grain yield against measured data.

It still mimics a chain letter, though at its core it runs a more complex interactive simulation of crops and harvests that requires increased decision-making from the player.

Both STATSGO and SSURGO led to similar simulations of crop yields and Net Ecosystem Production NEPP) estimates at the State level.

Simulations of crop diversity and rotation demonstrate significant effects of spatial and temporal heterogeneity on population sizes, population fluctuations and landscape permeability.

A performance approach was utilized for the ESI, having inputs that were derived from long-term simulations of crop management systems with the EPIC model (Erosion Productivity Impact Calculator).

Aspects of particular strength were identified (crop rotations; response to applied fertilizers; the performance of bare fallows), together with areas for further development work (simulation of retained crop stubble during fallows, greenhouse gas emissions).

DyNoFlo is an integrated dynamic model that incorporates Markov-chain simulation of cow flows and crop model simulations for historical climatic years (El Niño, La Niña, and Neutral years).

The assessment of the biomass of energy crops has garnered widespread interest since renewable bioenergy may become a substantial proportion of the future energy supply, and modeling has been widely used for the simulation of energy crops yields.

This is desired in various types of simulations for crop trait variation, forecasts under climate forcing scenarios and crop disease epidemics.