نتایج جستجو برای: crop models
تعداد نتایج: 971294 فیلتر نتایج به سال:
climate change has direct and indirect consequences on crop production and food security. agriculture and cropproduction is one of the factors which depend on the weather conditions and it provides the human requirements inmany aspects. the objective of this study is to assess the impacts of future climatic change on irrigated rice yieldusing the ceres-rice model in the southern coast of caspia...
Groundnut (Arachis hypogaea L.) is an important oilseed crop grown in our country. Majority of crop is under rainfed conditions and as a post rainy season (Rabi) crop in Andhra Pradesh. Several models are available to predict the phenology, growth and yield of groundnut crop. However, no precise models are available to validate the effects of moisture stress on groundnut and their subsequent im...
the need for more comparisons among models is widely recognized. this study aimed to compare three different modelling approaches for their capability to simulate and predict trends and patterns of winter wheat yield in western germany. the three modelling approaches included an empirical model, a process-based model (lintul2), and a metamodel derived from the process-based model. the models ou...
Crop productivity and water consumption form the basis to calculate the water footprint (WF) of a specific crop. Under current climate conditions, calculated evapotranspiration is related to observed crop yields to calculate WF. The assessment of WF under future climate conditions requires the simulation of crop yields adding further uncertainty. To assess the uncertainty of model based assessm...
Crop models of crop growth are increasingly used to quantify the impact of global changes due to climate or crop management. Therefore, accuracy of simulation results is a major concern. Studies with ensembles of crop models can give valuable information about model accuracy and uncertainty, but such studies are difficult to organize and have only recently begun. We report on the largest ensemb...
Accurate prediction of crop yields requires knowledge of the crop's develop-ment stage at critical times during the growing season. Various meteorological models have been developed to estimate crop development. However, the crop planting date, or equivalently, the date the crop reaches a particular crop devel-· opment stage generally is needed to ini-· tialize these models. Recently, efforts h...
The availability and efficient use of the feed resources in India are the primary drivers to maximize productivity of Indian livestock. Feed security is vital to the livestock management, extent of use, conservation and productivity enhancement. Assessment and forecasting of livestock feed resources are most important for effective planning and policy making. In the present study, 40 years of d...
Accurate crop performance monitoring and production estimation are critical for timely assessment of the food balance of several countries in the world. Since 2001, the Famine Early Warning Systems Network (FEWS NET) has been monitoring crop performance and relative production using satellite-derived data and simulation models in Africa, Central America, and Afghanistan where ground-based monit...
There is a growing need to increase global crop yields, whilst minimising use of resources such as land, fertilisers and water. Agricultural researchers use ground-based observations to identify, select and develop crops with favourable genotypes and phenotypes; however, the ability to collect rapid, high quality and high volume phenotypic data in open fields is restricting this. This study dev...
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