KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/35909
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | S. Ravichandran | en_US |
dc.contributor.author | K. Kareemulla | en_US |
dc.date.accessioned | 2020-05-20T06:45:21Z | - |
dc.date.available | 2020-05-20T06:45:21Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/35909 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Agriculture, the lifeline of Indian economy, is highly dependent on the timely occurrence of monsoons, viz. South- West and North-East monsoons spread over nearly six months viz. June – December of the year. India receives 75% of rainfall during South-West monsoon in June to September and Indian agriculture is good during this time of the year. Statistical data is collected on various aspects of crop growth through various stages and these data need to be statistically analyzed using advanced statistical techniques with the help of highly sophisticated statistical software developed for various statistical applications. The present paper throws light on various statistical techniques for analysis of data collected from various agricultural experiments | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | International Journal of Agricultural Statics Science | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Agriculture, ARIMA, Big data, Vector ARIMA (VAR). | en_US |
dc.title | AGRICULTURAL DATA ANALYTICS – SMALL TO BIG DATA | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Journal | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | International Journal of Agricultural and Statistical Sciences | en_US |
dc.publication.volumeno | 14 | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | ICAR::National Academy of Agricultural Research and Management | en_US |
dc.publication.authorAffiliation | ICAR::National Academy of Agricultural Research and Management | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 4.92 | - |
Appears in Collections: | AEdu-NAARM-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
agrl.data analytics-ravichandran.pdf | 273.96 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.