Estimation of Electrical Conductivity (EC) of Arpa River Based Soil of Bilaspur Chhattisgarh

Abstract: This research explores the investigation and significance of electrical conductivity in the quality of agricultural soil. Soil electrical conductivity is an indirect measurement that is associated with several physical and chemical characteristics of soils. The electrical conductivity (EC) of the soil is directly correlated with the concentration of nutrients and inversely correlated with the soil depth. The soil electrical conductivity (EC) values are indicative of the salinity level in the soil. greater EC values correspond to greater salt concentrations in the soil, whereas lower EC values indicate lower salt concentrations. A total of six soil samples were collected from various points along the Arpa River and sent to the soil test laboratory for examination. All samples were analysed using conventional techniques. For this investigation, one of the crucial soil parameters that was taken into consideration is electrical conductivity (EC). The objective of this study is to assess agricultural land using electrical conductivity. The measured electrical conductivity ranges from 0.4 to 0.7 dS/m. The anticipated value is between 0 and 2 decisiemens per metre (dS/m). All soil samples exhibit a standard level of electrical conductivity. Soil electrical conductivity (EC) measurements and total dissolved solids (TDS) may be used to determine the necessary quantity of NPK (nitrogen, phosphorus, potassium) fertilisers

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-08-26
DOI
https://doi.org/10.22214/ijraset.2024.64056
Citations
1
Primary Topic
Indigenous Knowledge Systems and Agriculture
Type
article
Field-Weighted Citation Impact
0.60
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article

Estimation of Electrical Conductivity (EC) of Arpa River Based Soil of Bilaspur Chhattisgarh

Rashmi Jain
1 citations
International Journal for Research in Applied Science and Engineering Technology
Indigenous Knowledge Systems and Agriculture
0.60
article

Estimation of Electrical Conductivity (EC) of Arpa River Based Soil of Bilaspur Chhattisgarh

Rashmi Jain
article en
1 citations

Abstract

Abstract: This research explores the investigation and significance of electrical conductivity in the quality of agricultural soil. Soil electrical conductivity is an indirect measurement that is associated with several physical and chemical characteristics of soils. The electrical conductivity (EC) of the soil is directly correlated with the concentration of nutrients and inversely correlated with the soil depth. The soil electrical conductivity (EC) values are indicative of the salinity level in the soil. greater EC values correspond to greater salt concentrations in the soil, whereas lower EC values indicate lower salt concentrations. A total of six soil samples were collected from various points along the Arpa River and sent to the soil test laboratory for examination. All samples were analysed using conventional techniques. For this investigation, one of the crucial soil parameters that was taken into consideration is electrical conductivity (EC). The objective of this study is to assess agricultural land using electrical conductivity. The measured electrical conductivity ranges from 0.4 to 0.7 dS/m. The anticipated value is between 0 and 2 decisiemens per metre (dS/m). All soil samples exhibit a standard level of electrical conductivity. Soil electrical conductivity (EC) measurements and total dissolved solids (TDS) may be used to determine the necessary quantity of NPK (nitrogen, phosphorus, potassium) fertilisers

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(8)
Pandit Sundarlal Sharma Open University (IN)
Openalex Percentile: Top 22%
Indigenous Knowledge Systems and Agriculture
0.60
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Estimation of Electrical Conductivity (EC) of Arpa River Based Soil of Bilaspur Chhattisgarh — Rashmi Jain · International Journal for Research in Applied Science and Engineering Technology (2024) | TGRS Research Map | TGRS