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Using agrometeorological data to calculate irrigation and fertilization requirement and scheduling for vegetable

机译:利用农业气象数据计算蔬菜的灌溉和施肥需求并安排时间表

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摘要

Uniformity of irrigation water and proper concentrations of nutrients, for major vegetable crops (cantaloupe and green beans) are critical problems under different climatic regions in Egypt especially newly reclaimed area. Uneven field surface, deep percolation, soil profile heterogeneity, and other soil problems characterize the situation of large area in the desert. These conditions affect water and nutrients distribution. The above mentioned agro management practices requires real time weather data system to be linked with soil, water and plant tissue analysis. The Central Laboratory for Agricultural Climate (CLAC) has established a system that utilizes agrometeorological data to calculate water requirements of vegetable crops based on climatic data as well as, soil and water analysis. Computer modeling is used to predict and calculate fertilizer requirements as well as fertilizer use efficiency. The integrated program provides a comprehensive tool for vegetable management that is window-based friendly tools. It also contains modules for further information on the crop accompanied with high-resolution photographs. The paper describes the models and tools used in the program. It illustrates the process of information and discuss the results of the field experimental work for the validation of the program.
机译:在埃及(特别是新开垦区)的不同气候区域,主要蔬菜作物(哈密瓜和青豆)的灌溉水均匀性和适当的养分含量是关键问题。荒漠地表不均匀,深度渗滤,土壤剖面异质性和其他土壤问题是沙漠大面积地区的特征。这些条件会影响水和养分的分配。上述农业管理实践要求将实时天气数据系统与土壤,水和植物组织分析相链接。农业气候中央实验室(CLAC)建立了一个系统,该系统利用农业气象数据根据气候数据以及土壤和水质分析来计算蔬菜作物的需水量。计算机建模用于预测和计算肥料需求以及肥料使用效率。集成程序为基于窗口的友好工具提供了用于蔬菜管理的综合工具。它还包含用于获取有关作物的更多信息的模块以及高分辨率照片。本文介绍了该程序中使用的模型和工具。它说明了信息的过程,并讨论了现场实验工作的结果,以验证程序。

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