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首页> 外文期刊>The Indian Journal of Agricultural Sciences >Methodology to map spatial variability of available nutrients in area of intensively growing potato (Solanum tuberosum) using remote sensing and GIS.
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Methodology to map spatial variability of available nutrients in area of intensively growing potato (Solanum tuberosum) using remote sensing and GIS.

机译:利用遥感技术和GIS绘制集约化种植马铃薯(马铃薯)地区可用营养素空间变异性的方法论。

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摘要

A methodology is developed for mapping spatial variability of available nutrients of soils of a pocket growing potato (Solanum tuberosum L.) crop using GIS. For this purpose potato growing pockets of the Jalandhar district were demarcated based on the available information, ground truth and classification of the IRS P6 AWiFS image. The classified potato area in the image was taken as background to generate the sampling site map and representative soil samples of potato fields from these sites were collected along with geographical coordinates using GPS receiver(ETREX-VISTA, Garmin). Values of different parameters (like pH, OC, available P and K and micronutrients) were tagged with corresponding points and interpolation maps for each individual parameters were prepared using suitable semivariogram and kriging in remote sensing GIS software. These prepared maps were further classified giving suitable ranges of different soil parameters.
机译:开发了一种用于使用GIS绘制袋装马铃薯(Solanum tuberosum L.)作物土壤有效养分空间变异性的方法。为此,根据现有信息,IRS P6 AWiFS图像的实际情况和分类对Jalandhar地区的马铃薯种植区进行了划分。以图像中的马铃薯分类区域为背景,生成采样点地图,并使用GPS接收器(ETREX-VISTA,Garmin)收集这些地点的代表性马铃薯田以及地理坐标。用相应的点标记不同参数(例如pH,OC,有效磷和钾以及微量营养素)的值,并使用合适的半变异函数和克里金法在遥感GIS软件中为每个单独的参数准备插值图。将这些准备好的地图进一步分类,以给出不同土壤参数的合适范围。

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