Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/434694
Title: Certain investigations on Soil quality evaluation Using deep learning model for Iot based smart agriculture system
Researcher: Sumathi P
Guide(s): Subramanian R
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
smart agriculture
internet of things agriculture systems
University: Anna University
Completed Date: 2021
Abstract: Nowadays, 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.
Pagination: xiii,112p.
URI: http://hdl.handle.net/10603/434694
Appears in Departments:Faculty of Information and Communication Engineering

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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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