crop models
Plant Modelling Framework: software for building and running crop models on the APSIM platform
... of crop through a series of phases which exhibit differences in the genesis of organs, nature or envi- ronmental response or resource ...characterise crop phenological ...simple crop models ...
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Identifying traits for genotypic adaptation using crop models.
... of crop models, based on 178 model results published in climate change impacts studies between 1994 and 2014, and disaggregated by model ...field-scale crop growth simulation model; CSM-RS: ...
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Ozone effects on crops and consideration in crop models
... developing crop growth models that are capable of incorporating key ozone impact processes within modelling structures that asses crop growth under a variety of different ...on crop growth ...
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Contribution of Remote Sensing on Crop Models: A Review
... and crop growth models has driven some scientists to recognise the usefulness of remote sensing in crop management, which lead to the development of combined applications ...in crop yield ...
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Improving the use of crop models for risk assessment and climate change adaptation
... assessment models (IAMs) may be expected to deliver frameworks for interconnected risks; however the use of crop models within IAMs is at a relatively early stage (Ewert et ...change, ...
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Predicting optimum crop designs using crop models and seasonal climate forecasts
... GCM models, interfaced with validated crop simulation mod- els, can now be used to inform optimum crop designs to increase farmers’ profits and reduce ...with crop simulation models ...
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Integrating pest population models with biophysical crop models to better represent the farming system
... APSIM models to work across domains from the farmer to researcher (Carberry et ...population models are combined? One concern is the fundamental difference between the models comprising the farming ...
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Sorghum Yield Response to Changing Climatic Conditions in Semi Arid Central Tanzania: Evaluating Crop Simulation Model Applicability
... both crop models using downscaled weather data from eight General Circulation Models (GCMs) under the Coupled Model Intercomparison Project phase 5 (CMIP5) and Representative Concentration Path- way ...
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A Review of Crop Growth Simulation Models as Tools for Agricultural Meteorology
... agriculture. Crop produc- tion must be increased to meet the rapidly growing food demands through sophisticated agricul- tural processes, while it is important to protect other natural resources and the ...the ...
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A crop yield change emulator for use in GCAM and similar models: Persephone v1.0
... each crop (Fig. 2). A major advantage of using site-specific crop models run voluntarily by experts is that the individual baseline runs at each site have been configured against local information in ...
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Plant phenomics, from sensors to knowledge
... Can current crop models be used in the phenotyping era for predicting the genetic variability of yield of plants subjected to drought or high temperature?. Multimodel ensembles of wheat [r] ...
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Global Warming Effects on Irrigation Development and Crop Production: A World Wide View
... Circulation Models for assessing the hydrological impacts of climate variability on crop requirements, water availability and the planning and design process of irrigation ...in crop production under ...
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Ridge Regression: A tool to forecast wheat area and production
... All-important factors such as rainfall, temperature, chemical fertilizes, manure and cultural practices affecting the area and production of wheat crop are considered for the development of the forecasting model. ...
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Agricultural data prediction by means of neural network
... Artificial neural networks are one of many com- puting models used in the sphere of artificial intel- ligence. Like their biological equivalent, they are designed for the parallel processing of data. At the same ...
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EFFICIENCY AND PRODUCTIVITY ANALYSIS OF PAKISTAN'S FARM SECTOR: A META-ANALYSIS*
... Overall 43 research articles are designated in this study, out of which 39 studies employed stochastic frontier technique, one study applied deterministic method and rest of the four studies used DEA technique (Table 1). ...
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Biophysical considerations in integrated catchment management : a modelling system for Northern Thailand
... terminology for the crop, erosion, and hydrologic modelling components has led to the adoption of the classification of models into empirical, conceptual or physics based... 1.2.2.1 Empi[r] ...
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Reduction of predictive uncertainty in estimating irrigation water requirement through multi-model ensembles and ensemble averaging
... reference crop ET, we used a commonly ap- plied correction factor (pan coefficients according to McMa- hon et ...derive crop ET from class-A pan mea- ...
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Calibration and Validation of the Crop Growth Model DAISY for Spring Barley in the Czech Republic
... the crop growth model DAISY for spring barley (cultivar “Tolar“) was calibrated and subsequently validated in three diff erent soil-climate locations in the Czech Republic – Lednice (48°48'51'' N, 16°48'46'' E, ...
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Crop- Soil Data Management System Of Cropping Decision System
... any crop then first they will check possibility of that particular crop in that soil by comparing the crop with the soil ...suitable crop for soil then that crop will need less input of ...
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ESTIMATION OF THE WATER REQUIREMENTS OF GREENHOUSE TOMATO CROP USING MULTIPLE REGRESSION MODELS
... Water utilization by crops, namely tomato, within greenhouses is one of the most significant factors in determining yield. Daily water consumption by tomato plants were calculated, to determine the actual ...
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