due to its complexity and destructive nature, convection has been subject of many studies and researches among weather phenomena throughout the world. scientists have attempted for decades to generate different types of models to provide the possibility of abating or, at least, reducing convective weather phenomena effects on people’s lives. in south or southwest of iran, people are familiar wi...

A robust crop model can assist in genetic improvement and cultural management of the crop. The objectives of this study were to describe a wheat (Triticum aestivum L.) model and to report results of its evaluation. The model simulates phenological development, leaf development and senescence, crop mass production and partitioning, plant nitrogen balance, yield formation and soil water and ...

agricultural insurance is one of the most important mechanisms to providing security for investment in agricultural and natural damage reduction. one of the modern types of insurance is weather index- based insurance that developed based on climatic parameters such as rainfall and temperature. the purpose of this study is to identifying the factors affecting wheat farmer's participation on...

Crop decision planning is an important part of effective farm management. Because of the many uncertain factors such as weather variations, technology advances, and crop yields and prices, all of which prove to change considerably, decision planning can be very complex. The focus of this paper is to develop accurate yield and price forecasting models to aid in decision planning. For yield forec...

Climate change is expected to increase future temperatures, potentially resulting in reduced crop production in many key production regions. Research quantifying the complex relationship between weather variables and wheat yields is rapidly growing, and recent advances have used a variety of model specifications that differ in how temperature data are included in the statistical yield equation....

introduction crop productivity is highly constrained by water and nitrogen limitations in many areas of the world (kalra et al., 2007). therefore, there is a need to investigate more on nitrogen and water management to achieve higher production as well as quality. irrigated sugar beet in the cropping systems of khorasan province in northeastern of iran accounts for about 34% of the land area un...

The accuracy of a crop model is judged mostly by how precise it is in estimating the production. The preciseness of a crop model is determined on one hand by the authenticity of the algorithms describing the processes of the real world, while on the other hand by the quality of its input data. The goal of this study was to test how sensitive crop models are to errors occurring in the measuremen...

Accurate and timely information on rice crop growth and yield helps governments and other stakeholders adapting their economic policies, enables relief organizations to better anticipate and coordinate relief efforts in the wake of a natural catastrophe, and provides technical backbone of an insurance solution where risks of yield losses from the rice smallholders are transferred to the insuran...

A model for investigation of the optimal economic life cycle of grass leys with winter damage problems in northern Norway and the threshold of winter damage before it is profitable to reseed grasses is presented. A 2-level hierarchic Markov process has been constructed using the MLHMP software. The model takes uncertainty concerning the yield potential, damage estimation and weather dependent r...

Weather has a significant impact on crop growth and development. This paper presents an overview of crop modeling and applications of crop models, and the significance of weather related to these applications. To account for the impact of weather and climate variability on crop production, agrometeorological variables are one of the key inputs required for the operation of crop simulation model...