Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/434694
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dc.coverage.spatialCertain investigations on Soil quality evaluation Using deep learning model for Iot based smart agriculture system
dc.date.accessioned2023-01-02T05:42:30Z-
dc.date.available2023-01-02T05:42:30Z-
dc.identifier.urihttp://hdl.handle.net/10603/434694-
dc.description.abstractNowadays, Agriculture automation is a promising matterin all over the newlineworld. The world population is increasing at a very fast rate and with an newlineincrease in population, the need for food increases rapidly. The traditional newlinefarming methods are not yielding expected productivity, and it is not sufficient newlineto serve the increasing demand of the population. So farmers use the harmful newlinepesticides in an intensified manner which affects the soil. This practice affects newlineagriculture a lot, and finally, the land remains unproductive with no fertility. newlineToday, there is a need to find the solution for these issues and the effects of the newlineenvironment in agricultural practice. newlineIn this research, region-based data have been taken to evaluate newlinesoil quality. The sample data are collected in and around Coimbatore and newlineErode districts in Tamilnadu, India.
dc.format.extentxiii,112p.
dc.languageEnglish
dc.relationp.104-111
dc.rightsuniversity
dc.titleCertain investigations on Soil quality evaluation Using deep learning model for Iot based smart agriculture system
dc.title.alternative
dc.creator.researcherSumathi P
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordsmart agriculture
dc.subject.keywordinternet of things agriculture systems
dc.description.note
dc.contributor.guideSubramanian R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File27.32 kBAdobe PDFView/Open
02_prelim pages.pdf1.36 MBAdobe PDFView/Open
03_content.pdf16.07 kBAdobe PDFView/Open
04_abstract.pdf14.63 kBAdobe PDFView/Open
05_chapter 1.pdf734.05 kBAdobe PDFView/Open
06_chapter 2.pdf128.34 kBAdobe PDFView/Open
07_chapter 3.pdf405.61 kBAdobe PDFView/Open
08_chapter 4.pdf381.53 kBAdobe PDFView/Open
09_annexures.pdf68.28 kBAdobe PDFView/Open
80_recommendation.pdf56.88 kBAdobe PDFView/Open


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