沙质土壤蓝莓精确灌溉自动灌溉系统的优化

G. Egea, J. Muniz, A. Diaz-Espejo
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引用次数: 3

摘要

以塑料隧道下沙质土壤蓝莓为试验对象,研究了基于土壤水分遥感测量的自动灌溉系统的性能。该系统使用安装在三种土壤深度(10,20和30厘米)的土壤湿度传感器提供的信息以及用户定义的灌溉设定点来触发自动灌溉事件。根据土壤水力特性分析和土壤水分模型确定灌溉设定值和灌溉持续时间的优化灌溉处理与种植户制定的灌溉调度标准(控制处理)进行比较。结果表明,优化处理的施水量为对照处理的30%,造成了轻度至中度的作物水分胁迫,对浆果产量和品质没有影响。
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Optimization of an automatic irrigation system for precision irrigation of blueberries grown in sandy soil
An experiment was carried out to assess the performance of an automatic irrigation system based on remotely-sensed soil moisture measurements in blueberries grown in sandy soil under plastic tunnels. The system uses the information provided by soil moisture sensors installed at three soil depths (10, 20 and 30 cm) and user-defined irrigation set-points to trigger automatic irrigation events. An Optimized irrigation treatment in which irrigation set-points and duration of irrigation have been determined from soil hydraulic properties analysis and soil water modelling is compared to the irrigation scheduling criteria established by the grower (Control treatment). The results showed that the Optimized treatment applied 30% of the water applied by the Control treatment, led to mild to moderate crop water stress conditions and had no impact on berry yield and quality.
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Proceedings of the British Society of Animal Science Proceedings of the XIIIth International Symposium on Ruminant Physiology (ISRP 2019) Proceedings of the British Society of Animal Science Proceedings of the Seventeenth Biennial Conference of the Australasian Pig Science Association (APSA) Proceedings of the 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT)
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