Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/423670
Title: Efficient Model for Heavy Metal Stress Level in Soil using Spectral Images
Researcher: Sangeetha Annam
Guide(s): Anshu Singla
Keywords: Computer Science
Engineering and Technology
Imaging Science and Photographic Technology
University: Chitkara University, Punjab
Completed Date: 2022
Abstract: Soil is a major and important natural resource, that not only supports human life but also newlinefurnishes commodities for economic growth. The process of soil degradation has posed a newlineserious threat to the ecosystem. The existence of heavy metals like arsenic, cadmium, and newlinelead, etc. beyond a certain threshold can produce ecological risks which include reduction in newlinecrop yield; a decrease in the fertility of the soil; and a degradation of human health. However, newlinesoil contamination is not the latest happening; its rate has been exponentially increasing in newlinerecent times. Because of the environmental risks, the assessment of heavy metal newlineconcentrations in soils needs to be focused. Considering the facts above, it is apparent that the newlinestudy of estimating heavy metal contamination in soil is required. Vast research has been newlinecarried out across the Globe to estimate heavy metal stress level in soil. newline
Pagination: 
URI: http://hdl.handle.net/10603/423670
Appears in Departments:Faculty of Computer Science

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01_title.pdfAttached File16.21 kBAdobe PDFView/Open
02_prelim pages.pdf105.36 kBAdobe PDFView/Open
03_content.pdf124.11 kBAdobe PDFView/Open
04_abstract.pdf13.16 kBAdobe PDFView/Open
05_chapter 1.pdf807.92 kBAdobe PDFView/Open
06_chapter 2.pdf118.13 kBAdobe PDFView/Open
07_chapter 3.pdf503.36 kBAdobe PDFView/Open
08_chapter 4.pdf573.34 kBAdobe PDFView/Open
09_chapter 5.pdf386.5 kBAdobe PDFView/Open
10_chapter 6.pdf284.77 kBAdobe PDFView/Open
11_annexures.pdf2.4 MBAdobe PDFView/Open
80_recommendation.pdf133.3 kBAdobe PDFView/Open
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