Geo-spatial sensing of physical properties a leeway to agricultural soil assessment
The demand for economical means of evaluating soil nutrients’ unpredictability triggered the use of physical factors against the costlier, laborious, and time-consuming chemical approach. This drive led to resolving its capability in evaluating intricate soil properties as a productivity checker. Th...
Gespeichert in:
Veröffentlicht in: | Earth sciences research journal 2024-05, Vol.28 (1), p.79-91 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 91 |
---|---|
container_issue | 1 |
container_start_page | 79 |
container_title | Earth sciences research journal |
container_volume | 28 |
creator | Olaojo, Abayomi Adesola Oladunjoye, Michael Adeyinka |
description | The demand for economical means of evaluating soil nutrients’ unpredictability triggered the use of physical factors against the costlier, laborious, and time-consuming chemical approach. This drive led to resolving its capability in evaluating intricate soil properties as a productivity checker. This study aimed at assessing the physical parameters as a useful alternative to the conventional chemical examination of nutrient inconsistency. A petrographic examination was conducted on four rock samples for their classifications. Apparent Electrical Conductivity (ECa) measurements were seasonally executed in the wet (912-station) and dry (906-station). Ten cored soil samples were subjected to a permeability test. Twenty soil samples were examined for pH, Electrical Conductivity (EC), available phosphorus, acidity, Na, Mg, K, and Ca using standard soil science procedures. The mineralogical composition of six samples was determined with X-ray diffraction. The rock is biotite granite gneiss containing plagioclase (22%), microcline (24%), orthoclase (4%), quartz (25%), biotite (7%), and others (18%). The soils ECa were 10-344 µS/cm; categorised as low (1-49 µS/cm), moderate (50-99 µS/cm), and high (>100 µS/cm). The ECa distribution varied from moderate (61%) to high (64%) suggesting a heterogeneous pattern of soil attributes. The infiltration rate was slow in high ECa (5.56x10-5-1.67x10-4 cm/s) signifying good retention capability whereas the low and moderate ECa (moderate-moderately rapid) sections promote nutrient leaching. The cation exchangeable capacity was low (2.99 cmol/kg) in the low ECa and moderate (3.30-4.85 cmol/kg) in the moderate and high ECa; with varying basic cation saturation in the high (81.38%), moderate (73.34%) and low (71.89%) ECa regions and high ECa had higher fertility status. The high ECa had low quartz (41.3%) and microcline (15.7%), but high kaolinite (31.1%) had an affinity to ads orb more cations compared to other ECa regions. ECa variability is practicable in predicting the spatial distribution of soil properties and delineating the management zones.
Key words: Granite gneiss, electrical conductivity, permeability, soil composition, mineral assemblages |
doi_str_mv | 10.15446/esrj.v28n1.109054 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3095071838</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3095071838</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1154-588d51e142033f32ec7b7c3346bfc14e0e2b6ce22815f3ec38d7c7328f98324b3</originalsourceid><addsrcrecordid>eNotkMFOwzAQRC0EEqXwA5wscU6xvXbsHFEFBakSB-BsOe6mpEqT4E1A_XtSymml0czs6DF2K8VCGq3ze6S0W3wr18qFFIUw-ozNFECRgTbFOZtJW-gsl4W4ZFdEOyGMVcrM2NsKu4z6MNSh4YQt1e2WdxXvPw9Ux0nrU9djGmokHniD-BMOfOh42KY6js0wpmOuqxseiJBoj-1wzS6q0BDe_N85-3h6fF8-Z-vX1cvyYZ1FOY3OjHMbI1FqJQAqUBhtaSOAzssqSo0CVZlHVMpJUwFGcBsbLShXFQ6ULmHO7k6908avEWnwu25M7fTSgyiMsNKBm1zq5IqpI0pY-T7V-5AOXgr_B88f4fk_eP4ED34BCaJkdw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3095071838</pqid></control><display><type>article</type><title>Geo-spatial sensing of physical properties a leeway to agricultural soil assessment</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Olaojo, Abayomi Adesola ; Oladunjoye, Michael Adeyinka</creator><creatorcontrib>Olaojo, Abayomi Adesola ; Oladunjoye, Michael Adeyinka</creatorcontrib><description>The demand for economical means of evaluating soil nutrients’ unpredictability triggered the use of physical factors against the costlier, laborious, and time-consuming chemical approach. This drive led to resolving its capability in evaluating intricate soil properties as a productivity checker. This study aimed at assessing the physical parameters as a useful alternative to the conventional chemical examination of nutrient inconsistency. A petrographic examination was conducted on four rock samples for their classifications. Apparent Electrical Conductivity (ECa) measurements were seasonally executed in the wet (912-station) and dry (906-station). Ten cored soil samples were subjected to a permeability test. Twenty soil samples were examined for pH, Electrical Conductivity (EC), available phosphorus, acidity, Na, Mg, K, and Ca using standard soil science procedures. The mineralogical composition of six samples was determined with X-ray diffraction. The rock is biotite granite gneiss containing plagioclase (22%), microcline (24%), orthoclase (4%), quartz (25%), biotite (7%), and others (18%). The soils ECa were 10-344 µS/cm; categorised as low (1-49 µS/cm), moderate (50-99 µS/cm), and high (>100 µS/cm). The ECa distribution varied from moderate (61%) to high (64%) suggesting a heterogeneous pattern of soil attributes. The infiltration rate was slow in high ECa (5.56x10-5-1.67x10-4 cm/s) signifying good retention capability whereas the low and moderate ECa (moderate-moderately rapid) sections promote nutrient leaching. The cation exchangeable capacity was low (2.99 cmol/kg) in the low ECa and moderate (3.30-4.85 cmol/kg) in the moderate and high ECa; with varying basic cation saturation in the high (81.38%), moderate (73.34%) and low (71.89%) ECa regions and high ECa had higher fertility status. The high ECa had low quartz (41.3%) and microcline (15.7%), but high kaolinite (31.1%) had an affinity to ads orb more cations compared to other ECa regions. ECa variability is practicable in predicting the spatial distribution of soil properties and delineating the management zones.
Key words: Granite gneiss, electrical conductivity, permeability, soil composition, mineral assemblages</description><identifier>ISSN: 1794-6190</identifier><identifier>EISSN: 2339-3459</identifier><identifier>DOI: 10.15446/esrj.v28n1.109054</identifier><language>eng</language><publisher>Bogata: Universidad Nacional de Colombia</publisher><subject>Acidic soils ; Acidity ; Agricultural land ; Biotite ; Calcium ; Cations ; Electrical conductivity ; Electrical resistivity ; Evaluation ; Fertility ; Gneiss ; Infiltration rate ; Kaolinite ; Leaching ; Magnesium ; Nutrients ; Orthoclase ; Permeability ; Permeability tests ; Phosphorus ; Physical factors ; Physical properties ; Plagioclase ; Potassium ; Quartz ; Resolvers ; Rocks ; Sediment samples ; Sodium ; Soil chemistry ; Soil classification ; Soil nutrients ; Soil permeability ; Soil properties ; Soil sciences ; Soil testing ; Spatial distribution ; X-ray diffraction</subject><ispartof>Earth sciences research journal, 2024-05, Vol.28 (1), p.79-91</ispartof><rights>2024. This work is published under https://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1154-588d51e142033f32ec7b7c3346bfc14e0e2b6ce22815f3ec38d7c7328f98324b3</cites><orcidid>0000-0002-6223-4297</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Olaojo, Abayomi Adesola</creatorcontrib><creatorcontrib>Oladunjoye, Michael Adeyinka</creatorcontrib><title>Geo-spatial sensing of physical properties a leeway to agricultural soil assessment</title><title>Earth sciences research journal</title><description>The demand for economical means of evaluating soil nutrients’ unpredictability triggered the use of physical factors against the costlier, laborious, and time-consuming chemical approach. This drive led to resolving its capability in evaluating intricate soil properties as a productivity checker. This study aimed at assessing the physical parameters as a useful alternative to the conventional chemical examination of nutrient inconsistency. A petrographic examination was conducted on four rock samples for their classifications. Apparent Electrical Conductivity (ECa) measurements were seasonally executed in the wet (912-station) and dry (906-station). Ten cored soil samples were subjected to a permeability test. Twenty soil samples were examined for pH, Electrical Conductivity (EC), available phosphorus, acidity, Na, Mg, K, and Ca using standard soil science procedures. The mineralogical composition of six samples was determined with X-ray diffraction. The rock is biotite granite gneiss containing plagioclase (22%), microcline (24%), orthoclase (4%), quartz (25%), biotite (7%), and others (18%). The soils ECa were 10-344 µS/cm; categorised as low (1-49 µS/cm), moderate (50-99 µS/cm), and high (>100 µS/cm). The ECa distribution varied from moderate (61%) to high (64%) suggesting a heterogeneous pattern of soil attributes. The infiltration rate was slow in high ECa (5.56x10-5-1.67x10-4 cm/s) signifying good retention capability whereas the low and moderate ECa (moderate-moderately rapid) sections promote nutrient leaching. The cation exchangeable capacity was low (2.99 cmol/kg) in the low ECa and moderate (3.30-4.85 cmol/kg) in the moderate and high ECa; with varying basic cation saturation in the high (81.38%), moderate (73.34%) and low (71.89%) ECa regions and high ECa had higher fertility status. The high ECa had low quartz (41.3%) and microcline (15.7%), but high kaolinite (31.1%) had an affinity to ads orb more cations compared to other ECa regions. ECa variability is practicable in predicting the spatial distribution of soil properties and delineating the management zones.
Key words: Granite gneiss, electrical conductivity, permeability, soil composition, mineral assemblages</description><subject>Acidic soils</subject><subject>Acidity</subject><subject>Agricultural land</subject><subject>Biotite</subject><subject>Calcium</subject><subject>Cations</subject><subject>Electrical conductivity</subject><subject>Electrical resistivity</subject><subject>Evaluation</subject><subject>Fertility</subject><subject>Gneiss</subject><subject>Infiltration rate</subject><subject>Kaolinite</subject><subject>Leaching</subject><subject>Magnesium</subject><subject>Nutrients</subject><subject>Orthoclase</subject><subject>Permeability</subject><subject>Permeability tests</subject><subject>Phosphorus</subject><subject>Physical factors</subject><subject>Physical properties</subject><subject>Plagioclase</subject><subject>Potassium</subject><subject>Quartz</subject><subject>Resolvers</subject><subject>Rocks</subject><subject>Sediment samples</subject><subject>Sodium</subject><subject>Soil chemistry</subject><subject>Soil classification</subject><subject>Soil nutrients</subject><subject>Soil permeability</subject><subject>Soil properties</subject><subject>Soil sciences</subject><subject>Soil testing</subject><subject>Spatial distribution</subject><subject>X-ray diffraction</subject><issn>1794-6190</issn><issn>2339-3459</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNotkMFOwzAQRC0EEqXwA5wscU6xvXbsHFEFBakSB-BsOe6mpEqT4E1A_XtSymml0czs6DF2K8VCGq3ze6S0W3wr18qFFIUw-ozNFECRgTbFOZtJW-gsl4W4ZFdEOyGMVcrM2NsKu4z6MNSh4YQt1e2WdxXvPw9Ux0nrU9djGmokHniD-BMOfOh42KY6js0wpmOuqxseiJBoj-1wzS6q0BDe_N85-3h6fF8-Z-vX1cvyYZ1FOY3OjHMbI1FqJQAqUBhtaSOAzssqSo0CVZlHVMpJUwFGcBsbLShXFQ6ULmHO7k6908avEWnwu25M7fTSgyiMsNKBm1zq5IqpI0pY-T7V-5AOXgr_B88f4fk_eP4ED34BCaJkdw</recordid><startdate>20240528</startdate><enddate>20240528</enddate><creator>Olaojo, Abayomi Adesola</creator><creator>Oladunjoye, Michael Adeyinka</creator><general>Universidad Nacional de Colombia</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-6223-4297</orcidid></search><sort><creationdate>20240528</creationdate><title>Geo-spatial sensing of physical properties a leeway to agricultural soil assessment</title><author>Olaojo, Abayomi Adesola ; Oladunjoye, Michael Adeyinka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1154-588d51e142033f32ec7b7c3346bfc14e0e2b6ce22815f3ec38d7c7328f98324b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Acidic soils</topic><topic>Acidity</topic><topic>Agricultural land</topic><topic>Biotite</topic><topic>Calcium</topic><topic>Cations</topic><topic>Electrical conductivity</topic><topic>Electrical resistivity</topic><topic>Evaluation</topic><topic>Fertility</topic><topic>Gneiss</topic><topic>Infiltration rate</topic><topic>Kaolinite</topic><topic>Leaching</topic><topic>Magnesium</topic><topic>Nutrients</topic><topic>Orthoclase</topic><topic>Permeability</topic><topic>Permeability tests</topic><topic>Phosphorus</topic><topic>Physical factors</topic><topic>Physical properties</topic><topic>Plagioclase</topic><topic>Potassium</topic><topic>Quartz</topic><topic>Resolvers</topic><topic>Rocks</topic><topic>Sediment samples</topic><topic>Sodium</topic><topic>Soil chemistry</topic><topic>Soil classification</topic><topic>Soil nutrients</topic><topic>Soil permeability</topic><topic>Soil properties</topic><topic>Soil sciences</topic><topic>Soil testing</topic><topic>Spatial distribution</topic><topic>X-ray diffraction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olaojo, Abayomi Adesola</creatorcontrib><creatorcontrib>Oladunjoye, Michael Adeyinka</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Latin America & Iberia Database</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Earth sciences research journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Olaojo, Abayomi Adesola</au><au>Oladunjoye, Michael Adeyinka</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geo-spatial sensing of physical properties a leeway to agricultural soil assessment</atitle><jtitle>Earth sciences research journal</jtitle><date>2024-05-28</date><risdate>2024</risdate><volume>28</volume><issue>1</issue><spage>79</spage><epage>91</epage><pages>79-91</pages><issn>1794-6190</issn><eissn>2339-3459</eissn><abstract>The demand for economical means of evaluating soil nutrients’ unpredictability triggered the use of physical factors against the costlier, laborious, and time-consuming chemical approach. This drive led to resolving its capability in evaluating intricate soil properties as a productivity checker. This study aimed at assessing the physical parameters as a useful alternative to the conventional chemical examination of nutrient inconsistency. A petrographic examination was conducted on four rock samples for their classifications. Apparent Electrical Conductivity (ECa) measurements were seasonally executed in the wet (912-station) and dry (906-station). Ten cored soil samples were subjected to a permeability test. Twenty soil samples were examined for pH, Electrical Conductivity (EC), available phosphorus, acidity, Na, Mg, K, and Ca using standard soil science procedures. The mineralogical composition of six samples was determined with X-ray diffraction. The rock is biotite granite gneiss containing plagioclase (22%), microcline (24%), orthoclase (4%), quartz (25%), biotite (7%), and others (18%). The soils ECa were 10-344 µS/cm; categorised as low (1-49 µS/cm), moderate (50-99 µS/cm), and high (>100 µS/cm). The ECa distribution varied from moderate (61%) to high (64%) suggesting a heterogeneous pattern of soil attributes. The infiltration rate was slow in high ECa (5.56x10-5-1.67x10-4 cm/s) signifying good retention capability whereas the low and moderate ECa (moderate-moderately rapid) sections promote nutrient leaching. The cation exchangeable capacity was low (2.99 cmol/kg) in the low ECa and moderate (3.30-4.85 cmol/kg) in the moderate and high ECa; with varying basic cation saturation in the high (81.38%), moderate (73.34%) and low (71.89%) ECa regions and high ECa had higher fertility status. The high ECa had low quartz (41.3%) and microcline (15.7%), but high kaolinite (31.1%) had an affinity to ads orb more cations compared to other ECa regions. ECa variability is practicable in predicting the spatial distribution of soil properties and delineating the management zones.
Key words: Granite gneiss, electrical conductivity, permeability, soil composition, mineral assemblages</abstract><cop>Bogata</cop><pub>Universidad Nacional de Colombia</pub><doi>10.15446/esrj.v28n1.109054</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-6223-4297</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1794-6190 |
ispartof | Earth sciences research journal, 2024-05, Vol.28 (1), p.79-91 |
issn | 1794-6190 2339-3459 |
language | eng |
recordid | cdi_proquest_journals_3095071838 |
source | EZB-FREE-00999 freely available EZB journals |
subjects | Acidic soils Acidity Agricultural land Biotite Calcium Cations Electrical conductivity Electrical resistivity Evaluation Fertility Gneiss Infiltration rate Kaolinite Leaching Magnesium Nutrients Orthoclase Permeability Permeability tests Phosphorus Physical factors Physical properties Plagioclase Potassium Quartz Resolvers Rocks Sediment samples Sodium Soil chemistry Soil classification Soil nutrients Soil permeability Soil properties Soil sciences Soil testing Spatial distribution X-ray diffraction |
title | Geo-spatial sensing of physical properties a leeway to agricultural soil assessment |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T13%3A23%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Geo-spatial%20sensing%20of%20physical%20properties%20a%20leeway%20to%20agricultural%20soil%20assessment&rft.jtitle=Earth%20sciences%20research%20journal&rft.au=Olaojo,%20Abayomi%20Adesola&rft.date=2024-05-28&rft.volume=28&rft.issue=1&rft.spage=79&rft.epage=91&rft.pages=79-91&rft.issn=1794-6190&rft.eissn=2339-3459&rft_id=info:doi/10.15446/esrj.v28n1.109054&rft_dat=%3Cproquest_cross%3E3095071838%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3095071838&rft_id=info:pmid/&rfr_iscdi=true |