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IT field monitoring in a Japanese system of rice intensification (J-SRI).

机译:日本稻米集约化系统(J-SRI)中的IT现场监视。

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A demonstration study on Information Technology (IT) field monitoring was conducted in a rice field under the System of Rice Intensification (SRI) environment in Shinshiro City, Aichi Prefecture, Japan. The IT system used in this study consisted of an intelligent sensor node web-server that is equipped with in situ camera and sensor networks for agrometeorological, soil, and plant growth monitoring. Dynamic changes in soil moisture, water level, agrometeorological, and environmental conditions were measured and monitored. With this precision farming set-up, understanding and easy assessment of the salient field conditions and phenomena such as cyclic soil wetting and drying as well as critical crop growth stages were made possible. Based on the findings of the demonstration experiment, the system was effective, reliable, and efficient in monitoring soil moisture parameters and agrometeorological information in remote rice field environment. The actual field conditions were captured well by a combination of images, numerical, and graphical data sets. With this precise information, the frequency of irrigation was found to be every 7 days. The rice field was irrigated up to a moisture level of 0.592 m3/m3 (~600 mV) and allowed to be depleted to a moisture level of 0.417 m3/m3 (~400 mV). With this alternate drying and wetting method (AWD), a 25.71% of irrigation water was saved. In this study, rice production was made more scientific and more reliable. Hence, the use of IT field monitoring system represented a viable medium for the realization of better rice productivity which leads to the ethic of sustainable agriculture.Digital Object Identifier http://dx.doi.org/10.1007/s10333-010-0226-2
机译:在日本爱知县新城市,在水稻强化系统(SRI)环境下,在稻田中进行了信息技术(IT)现场监测的示范研究。本研究中使用的IT系统由一个智能传感器节点Web服务器组成,该服务器配备了用于农业气象,土壤和植物生长监测的现场摄像头和传感器网络。测量和监测土壤湿度,水位,农业气象和环境条件的动态变化。通过这种精确的耕作设置,可以了解并轻松评估重要的田间条件和现象,例如土壤循环湿润和干燥以及关键的作物生长阶段。根据示范实验的结果,该系统在偏远稻田环境中监测土壤水分参数和农业气象信息时是有效,可靠和高效的。通过结合图像,数值和图形数据集可以很好地捕获实际的野外条件。利用这一精确信息,发现灌溉频率为每7天一次。将稻田灌溉至水分含量为0.592 m 3 / m 3 (〜600 mV),并使其耗水至0.417 m 3 / m 3 (〜400 mV)。使用这种交替的干燥和润湿方法(AWD),可以节省25.71%的灌溉水。在这项研究中,使稻米生产更加科学和可靠。因此,IT实地监测系统的使用为实现更好的稻米生产能力提供了一种可行的媒介,这导致了可持续农业的发展。数字对象标识符http://dx.doi.org/10.1007/s10333-010-0226- 2

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