irrigation with saline water needs to the different managements to reduce the harmful effects of salinity on plants, soil and the environment. simulation models are the useful tool to irrigation management in conditions of soil and water salinity because, they can predict crop yield and soil conditions considering to different climate, plant and management practices. in this study, the saltmed ...

This paper describes a method of integrating remotely sensed data (the MODIS LAI product) with an ecosystem model (the spatial EPIC model) to estimate crop yield in North China. The traditional productivity simulations based on crop models are normally sitespecific. To simulate regional crop productivity, the spatial crop model is developed firstly in this study by integrating Geographical Info...

the greatest limitations to agricultural development and production in iran are scarcity of water resources, ineffective irrigation scheduling and wasteful water usage. avenues discussed for optimum water use include improving water productivity by improving irrigation scheduling, farm water management and water profitability. the present study evaluated current water use and ways to improve wi...

Water shortage is a serious constraint on crop production on the North China Plain (NCP), where cropland is mainly irrigated by pumping groundwater from alluvial aquifers. To develop a sustainable ground water and irrigation management strategy, we developed a three-layer soil water balance model which is easy to use, robust, but physically based simulation tool. The model successfully simulate...

A combination of a simple and universal crop growth simulator (SUCROS) of van Keulen et al. [van Keulen, H., Penning de Vries, F.W.T., Drees, E.M., 1982. A summary model for crop growth. In: Penning de Vries, F.W.T., Laar van, H.H. (Eds.), Simulation of Plant Growth and Crop Production. Simulation Monographs, Pudoc, Wageningen] with a water balance model (WBM) of Arora et al. [Arora, V.K., Prih...

Estimates of the response of crops to climate change rarely quantify the uncertainty inherent in the simulation of both climate and crops. We present a crop simulation ensemble for a location in India, perturbing the response of both crop and climate under both baseline (12 720 simulations) and doubled-CO2 (171 720 simulations) climates. Some simulations used parameter values representing genot...

Crop growth and productivity are determined by a large number of weather, soil and management variables, which vary significantly across space. Remote Sensing (RS) data, acquired repetitively over agricultural land help in identification and mapping of crops and also in assessing crop vigour. As RS data and techniques have improved, the initial efforts that directly related RS-derived vegetatio...