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http://hdl.handle.net/10603/434694
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Certain investigations on Soil quality evaluation Using deep learning model for Iot based smart agriculture system | |
dc.date.accessioned | 2023-01-02T05:42:30Z | - |
dc.date.available | 2023-01-02T05:42:30Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/434694 | - |
dc.description.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. | |
dc.format.extent | xiii,112p. | |
dc.language | English | |
dc.relation | p.104-111 | |
dc.rights | university | |
dc.title | Certain investigations on Soil quality evaluation Using deep learning model for Iot based smart agriculture system | |
dc.title.alternative | ||
dc.creator.researcher | Sumathi P | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | smart agriculture | |
dc.subject.keyword | internet of things agriculture systems | |
dc.description.note | ||
dc.contributor.guide | Subramanian R | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 27.32 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.36 MB | Adobe PDF | View/Open | |
03_content.pdf | 16.07 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 14.63 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 734.05 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 128.34 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 405.61 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 381.53 kB | Adobe PDF | View/Open | |
09_annexures.pdf | 68.28 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 56.88 kB | Adobe PDF | View/Open |
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