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Development of image mapping techniques for site-specific paddy rice management

机译：开发用于特定地点的水稻管理的图像绘图技术

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A Ground-base Image Mapping System composed of camera, a GPS and a computer was developed. This system collects the images of paddy field sequentially while the vehicle is traveling in the field. After traveling, the images are synthesized and displayed as a two-dimensional image. Plant coverage values of paddy rice vegetations were examined using this system. As a result, the plant coverage closely correlates with the leaf area index and the absorbed amount of nitrogen per growing area, regardless of the type of cultivation, that is, direct seeding or transplanting. Using the system with some improvements including the cut-off of external light, the number of rice establishment seedlings, which were raised with the direct seeding cultivation technique, was measured. The results closely matched those from the visual examination. An effective cultivation management may be possible by dividing the establishment seedlings into several groups based on the density and changing the amounts of the fertilizer and the pesticide accordingly. Consequently, this system is considered to be an effective tool to collect the data regarding the plant growth state, which will facilitate the cultivation management of small sections in large agricultural fields.
机译：开发了由相机，GPS和计算机组成的地基图像映射系统。当车辆在田间行驶时，该系统顺序收集稻田的图像。行进之后，图像被合成并显示为二维图像。使用该系统检查了水稻植被的植物覆盖值。结果，无论种植的类型如何，即直接播种或移植，植物覆盖率都与叶面积指数和每个生长区域吸收的氮量紧密相关。使用该系统进行了一些改进，包括切断外界光线，测量了通过直接播种栽培技术培育的水稻种植秧苗的数量。结果与目测结果非常吻合。通过根据密度将设施苗分为几类并相应更改肥料和农药的用量，可以进行有效的栽培管理。因此，该系统被认为是收集有关植物生长状态数据的有效工具，这将有助于大型农业领域中小部分的种植管理。

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