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首页> 外文期刊>The Kasetsart Journal >Agricultural Production Forecasting Using Planning Distribution Model (PDM): A Case Study of the Nam Oon Project
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Agricultural Production Forecasting Using Planning Distribution Model (PDM): A Case Study of the Nam Oon Project

机译:使用计划分配模型(PDM)进行农业产量预测:以Nam Oon项目为例

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摘要

For forecasting agricultural production to design cropping patterns and to utilize water effectively, a computerized agricultural production monitoring system named PDM was selected. The Nam Oon irrigation project was chosen as a case study. PDM was used for agricultural production forecasting in the Nam Oon project for ten cultivation seasons from the 1995 wet season to the 2000 dry season. The factors affecting flow in the canal and the agricultural production forecasting equation were also investigated. In the wet season, the highest efficiency was achieved when 60% of the command area was planted with rice because of high production comparing to planted area and lowest insufficient water area. In dry season, command area can be increased about 100% comparing to the past for rice, field crop, and farm crop area because of sufficient water. Water management index of early wet season was less than 1 and end of wet season was greater than 1 while in dry season was greater than 1. It means that planted area in dry season can be increased.
机译:为了预测农业产量以设计种植方式并有效利用水,选择了一个名为PDM的计算机化农业生产监控系统。选择了南翁灌溉项目作为案例研究。从1995年雨季到2000年旱季,Nam Oon项目将PDM用于农业产量预测的10个耕种季节。还研究了影响运河流量的因素和农业生产预测方程。在雨季,由于与播种面积相比产量高和水源不足的地区最少,因此在命令区域的60%种植水稻时可获得最高效率。在干旱季节,由于水量充足,与水稻,田间作物和农作物的种植面积相比,命令面积可以增加约100%。雨季初期的水分管理指数小于1,而雨季末的水分管理指数大于1,而旱季的水分管理指数大于1。这意味着可以增加旱季的种植面积。

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