Sentence examples for models of crop from inspiring English sources

Models of crop yield are important for the assessment and optimization of agricultural systems.

One of the most common requests for e-RA is for providing data to parameterize and/or validate computer models of crop production and changes in SOC in response to changes in management and climate.

The models reviewed in this chapter are derived quite independently from one another and for very different purposes: ALES (Automated Land Evaluation System) is a computerized framework for allowing expert judgment to estimate crop and consequent economic production, and DSSAT (Decision Support System for Agrotechnology Transfer) is an explicit suite of models of crop plant production.

The ratio between these two quantities has been called the conversion efficiency of absorbed radiation into dry matter, and was used in many simple models of crop growth, i.e. bypassing the complex process of photosynthesis and respiration known to depend on many environmental variables [21].

As more data become available, spatially explicit models of crop dispersal can be used to combine different types of evidence.

The ratio between these two quantities has been called the conversion efficiency of absorbed radiation into dry matter, and was used in many simple models of crop growth, i.e. bypassing the complex process of photosynthesis and respiration known to depend on many environmental variables [ 21].

The design and appropriate distribution of the new systems is aided by remote sensing techniques to locate areas of saline discharge and linkages to zones of groundwater recharge, geographical information systems to arrange the data for land system analysis, and computer models of crops and cropping systems.

A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales.

This thesis proposes an impact-based combined drought index (CDI) and a regression prediction model of crop yield anomalies for the UBN basin.

This year, thanks to the taxpayers who were held down and fleeced by the latest farm bill, farmers will receive up to $5 billion in subsidies through a new model of crop insurance.

The present study is a preliminary step for the development of a robust model of crop contamination after an HTO accidental release.