نتایج جستجو برای: crop growth simulation model
تعداد نتایج: 3199135 فیلتر نتایج به سال:
Crop simulation model has been becoming the core of agricultural production management and resource optimization management. Displaying crop growth process makes user observe the crop growth and development intuitionisticly. On the basis of understanding and grasping the occurrence condition, popularity season, key impact factors for main wheat diseases of stripe rust, leaf rust, stem rust, hea...
1. Introduction Systems approach has been used by engineers since the 1950's for the study of complex and dynamic processes but their use by scientists working in biological fields is relatively recent. A system is defined as any well delineated part of reality which may contain a number of interrelated elements forming the systems structure. These functioning components interact in various way...
Hydrologic climate change modelling is hampered by climate-dependent model parameterizations. To reduce this dependency, we extended the regional hydrologic modelling framework SIMGRO to host a two-way coupling between the soil moisture model MetaSWAP and the crop growth simulation model WOFOST, accounting for ecohydrologic feedbacks in terms of radiation fraction that reaches the soil, crop co...
crop simulation models are increasingly used in agriculture. these models help in saving time and expenses. the objective of this study was to evaluate cropsyst model in predicting development, growth and yield of wheat cultivars from golestan province. to do this, experimental data from different experiments were gathered for kohdasht, shiroodi, tajan and zagros. model performance in simulatin...
Agricultural investigations use computer models for simulation of crop growth and field water management. By using these models, the effects of plant growth parameters on crop yields are simulated, hence, the experimental costs are reduced. In this paper, the model of MSM (Maize Simulation Model) was calibrated and validated for the prediction of maize forage production at Agricultural College,...
This study investigated the scope and constraints for integrated use of mechanistic crop growth simulation models and earth observation techniques. Integration of highquality crop growth models and information derived from earth observations can contribute to improved use of resources, reduced crop production risks, reduced environmental degradation, and increased farm income. In the past, both...
Agricultural investigations use computer models for simulation of crop growth and field water management. By using these models, the effects of plant growth parameters on crop yields are simulated, hence, the experimental costs are reduced. In this paper, the model of MSM (Maize Simulation Model) was calibrated and validated for the prediction of maize forage production at Agricultural College,...
water productivity is a function of crop yield and management operation. determination of different yield levels through field experiments is difficult. therefore, applying simulation model is an approach which makes possible to assess water balance, simulate growth process and survey different scenarios. using the cropsyst crop growth model to analyze water productivity, as an indicator of wat...
In order to simulate growth and yield of crop in field scale, crop simulation models always require a lot of initial parameters. WebGIS is a powerful tool for obtaining, managing and analyzing spatial data on the Web. With the support of WebGIS, crop models based on web services can be easily run on the web by remote client and provide decision information and measures for crop production. In t...
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