نتایج جستجو برای: keywordsagricultural water managementdeficit irrigationgenetic algorithmsoptimal cropping pattern
تعداد نتایج: 893016 فیلتر نتایج به سال:
Several whole-farm agro-economic optimization models have been developed to deal with lumped planning issues in the agriculture sector. However, these models cannot be used to devise appropriate management strategies at land parcel level, because of the differences between farm characteristics, and the increased complexity of the hydrological processes. Based on Spatial Farm Database (SFD) whic...
No-till dryland winter wheat (Triticum aestivum L.)-fallow systems in the central Great Plains have more water available for crop production than the traditional conventionally tilled winter wheat-fallow systems because of greater precipitation storage efficiency. That additional water is used most efficiently when a crop is present to transpire the water, and crop yields respond positively to ...
Cropping system level study is not only useful to understand to overall sustainability of agricultural system, but also it helps in generating many important parameters which are useful in climate change impact assessment. Considering its importance, Space Applications Centre, took up a project for mapping and characterizing major cropping systems of Indo-Gangetic Plains of India. The study are...
We propose a Decision Support System (DSS) for optimal cropping patterns and irrigation water management. The development of the DSS has three objectives. The first is to use mathematical models in order to optimize cropping decisions and irrigation policies under shortage of water in the Kingdom of Saudi Arabia. The second is to help growers exploit optimally their lands in places suffering fr...
The aims of this project was to assess the capability of SWAT model and SWAT-CUP software in hydrological simulation and to evaluate the uncertainty of SWAT model in estimating runoff in arid and semi-arid watersheds. Model calibration and uncertainty analysis were performed using the Sequential Uncertainty Fitting (SUFI2) algorithm. In the stage of calibration and validation of water flow, per...
A mathematical programming model is proposed for optimal cropping patterns under water de®cits in dry regions. Crops may be deliberately under-irrigated in order to increase the total irrigated area and possibly the pro®t. An operating policy will identify both the total area and the irrigation level allocated to a given selected crop taking into account the possible successors and predecessors...
ABSTRACT- Inadequate water supply is the major problem for agriculture in arid and semi-arid regions. Thus, effective management should be considered for water resources planning. In this research, a model was provided which is able to estimate optimal land and water allocation in the Doroodzan irrigation network. Optimal water management model was used at farm level to evaluate different defic...
Determination of optimal cropping pattern is essential for arid and semiarid regions. Lorestan province is located in the west part of Iran with mean annual precipitation from 50 to 1000 mm and in most parts of this province water resources for agriculture are deficit. Khoramabad region with semi-arid climate is located in Lorestan province with mean annual rainfall of 373 mm. The purpose of th...
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