Please use this identifier to cite or link to this item: http://dspace.cus.ac.in/jspui/handle/1/6426
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dc.contributor.authorRay, Partha Pratim-
dc.date.accessioned2019-10-23T07:15:24Z-
dc.date.available2019-10-23T07:15:24Z-
dc.date.issued2018-
dc.identifier.citationJournal of Agrometeorology,V.20(2),2018,171-173 pp.en_US
dc.identifier.issn0972 - 1665-
dc.identifier.urihttp://agrimetassociation.org/Images/Paper/20/50/2/1177.pdf-
dc.identifier.urihttp://dspace.cus.ac.in/jspui/handle/1/6426-
dc.language.isoenen_US
dc.publisherAssociation of Agrometeorologistsen_US
dc.subjectRadiationen_US
dc.subjectSolar illuminanceen_US
dc.titleInternet of things-based approximation of sun radiative-evapotranspiration modelsen_US
dc.typeArticleen_US
dc.identifier.Volume20-
dc.identifier.Issue2-
Appears in Collections:Partha Pratim Ray

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