Analysis of crop suitability using clustering technique in Coimbatore region of Tamil Nadu
Summary Agricultural production is a important thing that should be maintained because need of crop is increasing for the current population. They are affected by various factors of environmental conditions, temperature, soil conditions, etc. Most of the farmers cultivate crops without the knowledge...
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| Veröffentlicht in: | Concurrency and computation 2019-07, Vol.31 (14), p.n/a |
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| container_title | Concurrency and computation |
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| creator | Poongodi, S. Rajesh Babu, M. |
| description | Summary
Agricultural production is a important thing that should be maintained because need of crop is increasing for the current population. They are affected by various factors of environmental conditions, temperature, soil conditions, etc. Most of the farmers cultivate crops without the knowledge about crop suitability in their location there by reducing the crop productivity and money loss. It tends to cause the economical level of country. Therefore, it is necessary to develop a method to predict the crop productivity. In this work, Coimbatore region is taken for case study to analyze the crop productivity. For this process, new data mining technique is proposed and employed to predict the crop suitability. The proposed method produces the better results in terms of prediction level in region and sub regions of given area. |
| doi_str_mv | 10.1002/cpe.5294 |
| format | Article |
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Agricultural production is a important thing that should be maintained because need of crop is increasing for the current population. They are affected by various factors of environmental conditions, temperature, soil conditions, etc. Most of the farmers cultivate crops without the knowledge about crop suitability in their location there by reducing the crop productivity and money loss. It tends to cause the economical level of country. Therefore, it is necessary to develop a method to predict the crop productivity. In this work, Coimbatore region is taken for case study to analyze the crop productivity. For this process, new data mining technique is proposed and employed to predict the crop suitability. The proposed method produces the better results in terms of prediction level in region and sub regions of given area.</description><identifier>ISSN: 1532-0626</identifier><identifier>EISSN: 1532-0634</identifier><identifier>DOI: 10.1002/cpe.5294</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>Agricultural practices ; Agricultural production ; agriculture ; Clustering ; Coimbatore ; crop productivity ; Data mining ; mean ; Productivity ; Soil conditions</subject><ispartof>Concurrency and computation, 2019-07, Vol.31 (14), p.n/a</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2934-95e53b0a90880795e84c23e65087cc19c361c6d191cc81e58c8aeded34825f433</citedby><cites>FETCH-LOGICAL-c2934-95e53b0a90880795e84c23e65087cc19c361c6d191cc81e58c8aeded34825f433</cites><orcidid>0000-0003-1118-1559</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcpe.5294$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcpe.5294$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Poongodi, S.</creatorcontrib><creatorcontrib>Rajesh Babu, M.</creatorcontrib><title>Analysis of crop suitability using clustering technique in Coimbatore region of Tamil Nadu</title><title>Concurrency and computation</title><description>Summary
Agricultural production is a important thing that should be maintained because need of crop is increasing for the current population. They are affected by various factors of environmental conditions, temperature, soil conditions, etc. Most of the farmers cultivate crops without the knowledge about crop suitability in their location there by reducing the crop productivity and money loss. It tends to cause the economical level of country. Therefore, it is necessary to develop a method to predict the crop productivity. In this work, Coimbatore region is taken for case study to analyze the crop productivity. For this process, new data mining technique is proposed and employed to predict the crop suitability. The proposed method produces the better results in terms of prediction level in region and sub regions of given area.</description><subject>Agricultural practices</subject><subject>Agricultural production</subject><subject>agriculture</subject><subject>Clustering</subject><subject>Coimbatore</subject><subject>crop productivity</subject><subject>Data mining</subject><subject>mean</subject><subject>Productivity</subject><subject>Soil conditions</subject><issn>1532-0626</issn><issn>1532-0634</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kEtLxDAUhYMoOI6CPyHgxk3HPDvJcijjAwZ1MW7chDRNxwydpiYt0n9v6og7V_dc-Dj3ngPANUYLjBC5M51dcCLZCZhhTkmGcspO_zTJz8FFjHuEMEYUz8D7qtXNGF2EvoYm-A7GwfW6dI3rRzhE1-6gaYbY2zDJ3pqP1n0OFroWFt4dSt37YGGwO-fbyWOrD66Bz7oaLsFZrZtor37nHLzdr7fFY7Z5eXgqVpvMEElZJrnltERaIiHQMm2CGUJtzpFYGoOloTk2eYUlNkZgy4UR2la2okwQXjNK5-Dm6NsFnz6Lvdr7IaRYURHCuJRcpENzcHukUsgYg61VF9xBh1FhpKbmVGpOTc0lNDuiX66x47-cKl7XP_w3lVdu2Q</recordid><startdate>20190725</startdate><enddate>20190725</enddate><creator>Poongodi, S.</creator><creator>Rajesh Babu, M.</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-1118-1559</orcidid></search><sort><creationdate>20190725</creationdate><title>Analysis of crop suitability using clustering technique in Coimbatore region of Tamil Nadu</title><author>Poongodi, S. ; Rajesh Babu, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2934-95e53b0a90880795e84c23e65087cc19c361c6d191cc81e58c8aeded34825f433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural practices</topic><topic>Agricultural production</topic><topic>agriculture</topic><topic>Clustering</topic><topic>Coimbatore</topic><topic>crop productivity</topic><topic>Data mining</topic><topic>mean</topic><topic>Productivity</topic><topic>Soil conditions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Poongodi, S.</creatorcontrib><creatorcontrib>Rajesh Babu, M.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Concurrency and computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Poongodi, S.</au><au>Rajesh Babu, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of crop suitability using clustering technique in Coimbatore region of Tamil Nadu</atitle><jtitle>Concurrency and computation</jtitle><date>2019-07-25</date><risdate>2019</risdate><volume>31</volume><issue>14</issue><epage>n/a</epage><issn>1532-0626</issn><eissn>1532-0634</eissn><abstract>Summary
Agricultural production is a important thing that should be maintained because need of crop is increasing for the current population. They are affected by various factors of environmental conditions, temperature, soil conditions, etc. Most of the farmers cultivate crops without the knowledge about crop suitability in their location there by reducing the crop productivity and money loss. It tends to cause the economical level of country. Therefore, it is necessary to develop a method to predict the crop productivity. In this work, Coimbatore region is taken for case study to analyze the crop productivity. For this process, new data mining technique is proposed and employed to predict the crop suitability. The proposed method produces the better results in terms of prediction level in region and sub regions of given area.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/cpe.5294</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-1118-1559</orcidid></addata></record> |
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| language | eng |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Agricultural practices Agricultural production agriculture Clustering Coimbatore crop productivity Data mining mean Productivity Soil conditions |
| title | Analysis of crop suitability using clustering technique in Coimbatore region of Tamil Nadu |
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