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Study on Soil Nitrogen and Electrical Conductivity Relationship for Site-Specific Nitrogen Application

机译:基于特异性氮的土壤氮和导电关系研究

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The purpose of this work was to develop an algorithm in order to develop a sensor to monitor the available soil nitrogen in the field. The available nitrogen in soil and crop root zone is an essential factor limiting the yield of crops. The crops nitrogen requirement is vary within a field and in different cropping season based on many factors such as; soil type, regain climate, crop needs and crop rotation system. It is profitable and efficient to match crops nitrogen demand to the nitrogen application throughout the season. Three different and common soil types used in agriculture regain, were firstly classified based on the soil triangle chart and an algorithm was developed to determine soil nitrogen requirements in those three different soils. Each soil type chosen to have high percentage of either sand, silt or clay. Physical properties Le. field capacity, permanent wilting point, available water capacity and chemical properties Le. pH, available nitrogen and total nitrogen, organic carbon, phosphorus and potassium were determined. Four levels of moisture content keeping in view the best moisture levels between tillage moisture and field capacity were selected. Four levels of nitrogen were selected based on common practice of nitrogen application of 50, 100, 150, 200 kg/ha. Soil moisture levels were measured by moisture sensor as well as oven dry method and the Electrical Conductivity (EC) of these soil samples were measured by using an accurate EC meter (Hanna Soil EC -Tester). A significant relation between electrical conductivity and moisture levels of soil was observed. Also, the relation between electrical conductivity of soil and levels of nitrogen therein was found significant. The relation between EC and different levels of nitrogenin different levels of moisture is going to be used to develop a sensor for real time variable nitrogen application in precision agriculture.
机译:这项工作的目的是开发一种算法,以便开发传感器以监测现场的可用土壤氮。土壤和作物根区的可用氮是限制作物产量的基本因素。作物氮要求在一个领域和不同的种植季节内变化,基于许多因素;土壤类型,恢复气候,作物需求和作物旋转系统。将作物氮气需求与整个季节施氮到氮施加有利可图。在农业恢复中使用的三种不同和常见的土壤类型,首先基于土三角形图分类,开发了一种算法以确定三种不同土壤中的土壤氮要求。选择的每种土壤类型都有高百分比的砂,淤泥或粘土。物理属性le。现场容量,永久性萎缩点,可用水能和化学特性le。测定pH,可用的氮和总氮,有机碳,磷和钾。需要四种水分含量,以观察耕作水分和场容量之间的最佳水分水平。基于氮施氮的常见实践为50,100,150,200kg / ha,选择四种氮。通过湿度传感器测量土壤水分水平以及通过使用精确的EC仪表(HANA土壤EC -TESTER)测量这些土壤样品的导电性(EC)。观察到导电性和土壤水分水平之间的重要关系。此外,发现土壤导电性与其中的氮水平的关系显着。 EC与不同水平的氮素不同水分水分的关系将用于开发用于实时可变氮应用的传感器,精密农业。

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