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100   $a20220628d2021      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMachine learning and artificial intelligence for agricultural economics $eprognostic data analytics to serve small scale farmers worldwide /$fChandrasekar Vuppalapati
210  1$aCham, Switzerland :$cSpringer,$d[2021]
210  4$dİ2021
215   $a1 online resource (611 pages)
225 1 $aInternational Series in Operations Research and Management Science ;$vv.314
311   $a3-030-77484-8 
320   $aIncludes bibliographical references and index.
410  0$aInternational Series in Operations Research and Management Science 
606   $aArtificial intelligence$xAgricultural applications
606   $aAgriculture$xEconomic aspects
615  0$aArtificial intelligence$xAgricultural applications.
615  0$aAgriculture$xEconomic aspects.
676   $a630.208563
700   $aVuppalapati$b Chandrasekar$f1972-$01249386
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910502650703321
996   $aMachine learning and artificial intelligence for agricultural economics$92895354
997   $aUNINA