Identification of soil type in Pakistan using remote sensing and machine learning
Identification of soil type in Pakistan using remote sensing and machine learning
About this item
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Publisher
San Diego, USA: PeerJ. Ltd
Journal title
Language
English
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Publisher
San Diego, USA: PeerJ. Ltd
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Contents
Soil study plays a significant role in the cultivation of crops. To increase the productivity of any crop, one must know the soil type and properties of that soil. The conventional soil type identification, grid sampling and hydrometer method require expert intervention, more time and extensive laboratory experimentation. Digital soil mapping, whil...
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Full title
Identification of soil type in Pakistan using remote sensing and machine learning
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_1ff9663c16144fcda3fbaea96fd08515
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1ff9663c16144fcda3fbaea96fd08515
Other Identifiers
ISSN
2376-5992
E-ISSN
2376-5992
DOI
10.7717/peerj-cs.1109
