the need for more comparisons among models is widely recognized. this study aimed to compare three different modelling approaches for their capability to simulate and predict trends and patterns of winter wheat yield in western germany. the three modelling approaches included an empirical model, a process-based model (lintul2), and a metamodel derived from the process-based model. the models ou...

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...

using crop simulation models is an efficient complement to experimental research. crop models can also be helpful with respect to decision-making in sustainable farming system. this study was done to estimate genetic coefficients and evaluate performanced dssat in prediction of development, growth and yield in wheat. data from various field experiments for four wheat cultivars koohdasht, shirou...

The Crop Growth Monitoring System (CGMS) has been applied for spatial biophysical resource analysis of Borkhar & Meymeh district in Esfahan province, Iran. The potentially suitable area for agriculture in the district has been divided into 128 homogeneous land units in terms of soil (physical characteristics), weather and administrative unit. Crop parameters required in the WOFOST simulatio...

abstract the propose of this study was evaluation of cropsyst model on growth simulation and yield stimation of canola under different irrigation treatments. canola (talaye) was sown under 5 treatment and 4 replicants in completed randomized block designs at the college of agriculture, shiraz universityduring 2007-2008. during the growth season dry mass and lai was meseaured frequently, then mo...

Crop yield is the result of complex interaction among factors of soil, atmosphere, plant genotype, and management practices adopted. These complex interactions of crop with various factors and of factors among themselves make the crop yield modeling a difficult task. Several methods of crop yield forecasting have been developed ranging from purely statistical to agro-meteorological to empirical...

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...

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...

abstract development and evaluation of mitigation strategies are very crucial to manage climate change risk. research objectives of this study were (1) to quantify the response of maize grain yield to potential impacts of climate change and (2) to investigate the effectiveness of changing sowing date of maize as a mitigation option for khorasan province which is located in northeast of iran. tw...

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...