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作 者:孙道宗[1,2] 王卫星[1,2] 唐劲驰 姜晟[2]
机构地区:[1]华南农业大学南方农业机械与装备关键技术教育部重点实验室,广东广州510642 [2]华南农业大学工程学院,广东广州510642 [3]广东省农科院饮用植物研究所,广东广州510640
出 处:《广东农业科学》2014年第16期165-171,共7页Guangdong Agricultural Sciences
基 金:2012年广东省级扶持农业机械化发展专项;广东省科技计划项目(2010B020315021;2011B020313019)
摘 要:为了精确判断茶树水分胁迫情况,以Idso的作物水分胁迫指数(CWSI)模型中的参数为监测对象,研制了一套茶树水分胁迫田间参数自动采集系统,实现对表征茶树发生水分胁迫的茶树自身生理参数及茶树田间物理环境参数的自动监测。系统通过不同的传感器节点分别监测茶树的冠层温度、田间的土壤湿度和土壤热通量、太阳净辐射、风速及空气温湿度。通过所采集的上述参数,结合CWSI模型,便可精确计算出茶树水分胁迫指数,用于指导灌溉,避免茶树发生干旱胁迫或过度灌溉。系统充分利用了无线传感器网络的便捷性,各传感器节点所采集的参数以多跳的方式无线传输至远端的上位机节点,上位机节点可以本地存储参数,也可通过串口,输送至电脑上。系统经过重新标定,也可用于监测其他作物的水分胁迫情况。In order to accurately monitor the tea tree water stress, the crop water stress index(CWSI) parameters of the Idso were applied as monitoring objects and an automatic tea water stress acquisition system was developed. By using the system, automatic monitoring for physiological parameters of tea tree water stress and physical environmental parameters of tea plantation could be achieved. Different sensor nodes were used to monitor the tea tree's canopy temperature, tea garden soil moisture and soil heat flux, net solar radiation, wind speed, air temperature, and humidity. Through the acquisition of the above parameters, combined with the CWSI model, the tea water stress index was calculated accurately. This index could be applied to guide irrigation and to avoid tea drought stress or excessive irrigation. The system takes full advantage of the convenience of wireless sensor network by using which the acquired parameters of each sensor node are wirelessly transmitted to a remote host computer node thruogh the multi-hop method. The acquired parameters can be either restored within the host computer or uploaded to a computer through serial port. The system can also be used to monitor other crop water stress after re-calibration.
分 类 号:S127[农业科学—农业基础科学] S571.171
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