Agro-hydrological models have increasingly become useful and powerful tools in optimizing water and fertilizer application, and in studying the environmental consequences. Accurate prediction of water dynamics in such models is essential for models to produce reasonable results. In this study, detailed simulations were performed for water dynamics of rainfed winter wheat and barley grown under ...

suitable soil structure is important for crop growth. one of the main characteristics of soil structure is the size of soil aggregates. there are several ways of showing the stability of soil aggregates, among which the determination of the median weight diameter of soil aggregates is the most common method. in this paper, a method based on adaptive neuro fuzzy inference system (anfis) was used...

Simulations for root growth, crop growth, and N uptake in agro-hydrological models are of significant concern to researchers. SWMS_2D is one of the most widely used physical hydrologically related models. This model solves equations that govern soil-water movement by the finite element method, and has a public access source code. Incorporating key agricultural components into the SWMS_2D model ...

Regional crop yield prediction is a vital component of national food security assessment. Data assimilation method which combines crop growth model and remotely sensed data has been proven the most potential method in regional crop production estimation. This paper takes Hengshui district as study area, WOFOST as crop model, MODIS-LAI as observation data to test and verify the efficiency of EnK...

GOSSYM is a comprehensive crop growth model that has been continuously developed since the late 1970s and widely applied to assist cotton growers, crop consultants, and researchers. The state-of-art CWRF (Climate-Weather Research and Forecasting model) demonstrated skillful simulations of regional water and energy cycle processes that are keenly important to cotton growth. This study focuses on...

To evaluate the effect of climate change on peanut production in Northern Iran on the basis of 2oC rise in temperature, a study was conducted using the SSM-Peanut. The simulation was done based on the long-term data obtained from synoptic stations in Guilan including Anzali, Astara, Kiashahr (Astaneh Ashrafieh), Lahijan, Rasht (Agriculture station), Rasht (Airport station), Roudsar and Talesh. ...

In order to develop a cane yield forecasting system using crop In order to develop a sugarcane yield forecasting system, a crop yield simulation model is evaluated at the scale of a mill supply area (MSA), using historical climate and yield data. The area1 extent of this scale necessitates the development of spatially distributed model input, both for historical model evaluation and for future ...

The Scaling Law for the Discrete Kinetic Growth Percolation Model The critical exponent of the total number of finite clusters α is calculated directly without using scaling hypothesis both below and above the percolation threshold pc based on a kinetic growth percolation model in two and three dimensions. Simultaneously, we can calculate other critical exponents β and γ, and show that the scal...

Combining climate change, crop growth and crop disease models to predict impacts of climate change on crop diseases can guide planning of climate change adaptation strategies to ensure future food security. This review summarises recent developments in modelling climate change impacts on crop diseases, emphasises some major challenges and highlights recent trends. The use of multi-model ensembl...

introduction: agricultural activities increasingly use water, fertilizers and pesticides, which may generate negative impacts on environment. nowadays, nitrogen leaching from agricultural lands is a widespread global problem. therefore, alternative land management practices such as nutrient management (rate, method and time of application), tillage operations (conservation and no-tillage), and ...