Development of Prediction Models for Soil Nitrogen Management Based on Electrical Conductivity and Moisture Content

A study was conducted with the goal of developing an algorithm for use in sensors to monitor available soil N. For this purpose, three different soils were selected. The soils were studied for electrical conductivity (EC) at four different moisture levels and four levels of N. The selection of moist...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2022-09, Vol.22 (18), p.6728
Main Authors: Mirzakhaninafchi, Hasan, Mani, Indra, Hasan, Murtaza, Nafchi, Ali Mirzakhani, Parray, Roaf Ahmad, Kumar, Dinesh
Format: Article
Language:English
Subjects:
Agriculture
algorithms
Analysis
Clay loam
Electric properties
Electrical conductivity
Electrical resistivity
Fertilizers
Moisture content
Nitrates
Nitrogen
nitrogen management
Polynomials
precision agriculture
Prediction models
Sandy loam
Sensors
Soil moisture
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Summary:A study was conducted with the goal of developing an algorithm for use in sensors to monitor available soil N. For this purpose, three different soils were selected. The soils were studied for electrical conductivity (EC) at four different moisture levels and four levels of N. The selection of moisture levels was based on optimum moisture levels between tillage moisture and field capacity. The results revealed a significant relationship between electrical conductivity and moisture level of the soil as well as between electrical conductivity and soil N content. Based on these relations, a polynomial model was developed between the EC of each selected soil sample and moisture content as well as N levels. The regression model for moisture content-based EC determination had coefficients of determination of 0.985, 0.988, and 0.981 for clay loam, sandy loam, and sandy loam soils, respectively. Similarly, the regression model for N content-based EC determination had coefficients of determination of 0.9832, 0.9, and 0.99 for clay loam, sandy loam, and sandy loam soils, respectively. An algorithm developed using a polynomial relationship between the EC of each selected soil sample at all moisture and N levels can be used to develop a sensor for site-specific N application.
ISSN:1424-8220
1424-8220
DOI:10.3390/s22186728