A sensitivity analysis of the responses of crops to the chosen production adaptation options under regional climate change was conducted in this study. Projections of winter wheat production for different sowing dates and cultivars were estimated for a major economic and agricultural province of China from 2021 to 2080 using the World Food Study model (WOFOST) under representative concentration...

Winter wheat crop yield forecasting at national, regional and local scales is an extremely important task. This paper aims at assessing the efficiency (in terms of prediction error minimization) of satellite and biophysical model based predictors assimilation into winter wheat crop yield forecasting models at different scales (region, county and field) for one of the regions in central part of ...

the models oryza2000, swap and wofost simulate the growth and development of rice under conditions of potential production and water limitation. the models were evaluated against a data set of field experiments. the study was laid out in rcbd with three replications for one traditional landrace, hashemi, carried out in 2005 at the rice research institute of iran in rasht. the irrigation managem...

This study includes a global sensitivity analysis of the water productivity model AquaCrop. The study rationale consisted in a comprehensive evaluation of the model and the formulation of guidelines for model simplification and efficient calibration. The global analysis comprehended a Morris screening followed by a variance-based Extended Fourier Amplitude Sensitivity Test (EFAST) under diverse...

Regional crop yield prediction is a significant component of national food security assessment and food policy making. The crop growth model based on field scale is limited when it is extrapolated to regional scale to estimate crop yield due to the uncertainty of the input parameters. The data assimilation method which combines crop growth model and remotely sensed data has been proven to be th...

In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the ...

Three strains of facultatively anaerobic thermotolerant and moderately halophilic bacteria were isolated from two Jordanian hot spring locations. The novel Bacillus strains were short rods, Gram-positive, motile and spore formers. The strains were capable of anaerobic (but not aerobic) growth at 63C, moderately halophilic, able to grow at NaCl concentration range of 12 15 % and at temperatures ...