Mapping the pH and Salinity Values for Paddy Field Area in East Coast Malaysia using Kriging Interpolation Technique

Nor Fakira Alia Mohd Rapi, Nur Asma Amirah Mohd Asri, Maizura Mohd Sani, Naimah Mat Isa
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Abstract

In paddy farming, the condition of soil is one of the important factors to promote a healthy growing plant. Certain pH and salinity levels are required in order to have soil condition which suits the microorganism life and promotes nutrient opportunity to the plant. Currently, the method used to identify the pH and salinity levels of the soil is by embedding a sensor on the soil which requires cost and time. Furthermore, it will only show the pH and salinity values at only one point and there are limitations if the area of interest is difficult to be accessed. In this research, a method was studied by using Kriging interpolation technique to map soil salinity and pH near Kelantan and Terengganu paddy cultivation area. Ground truth data were pre-processed to generate an image model mapping which consists of acidity, neutral, alkalinity and level of salinity at coordinates of interest using ArcGIS Pro software. As a result, the estimated pH and salinity value range were between 3.9 to 5.9 and 0.48 to 0.71 ds m-1 respectively. To test the accuracy of the model, analysis of RMSE was done for pH (0.854) and salinity (0.057). This research shall contribute as a preliminary study to model the soil pH and salinity values for monitoring purpose and as an aid to the farmers.
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利用Kriging插值技术绘制马来西亚东海岸水田pH和盐度值
在水田种植中,土壤状况是促进植物健康生长的重要因素之一。一定的pH值和盐度水平是需要的,以便有适合微生物生活和促进植物营养机会的土壤条件。目前,用于识别土壤pH和盐度水平的方法是通过在土壤中嵌入传感器,这需要成本和时间。此外,它只能显示一个点的pH值和盐度值,如果感兴趣的区域难以进入,则存在局限性。本研究利用Kriging插值技术对吉兰丹和登嘉努水稻种植区附近的土壤盐碱度和pH值进行了研究。使用ArcGIS Pro软件对地面真实数据进行预处理,生成由感兴趣坐标上的酸度、中性度、碱度和盐度组成的图像模型映射。结果表明,该区pH值为3.9 ~ 5.9,盐度为0.48 ~ 0.71 ds m-1。为了检验模型的准确性,对pH(0.854)和盐度(0.057)进行了RMSE分析。该研究将作为初步研究,为监测目的建立土壤pH值和盐度模型,并为农民提供帮助。
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