LEADER 01666nam0 22003733i 450 001 VAN0279615 005 20240711100349.69 017 70$2N$a9783031383991 100 $a20240711d2023 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aSpecialty Crops for Climate Change Adaptation$eStrategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence$fChandrasekar Vuppalapati 210 $aCham$cSpringer$d2023 215 $axxxi, 813 p.$cill.$d24 cm 410 1$1001VAN0123837$12001 $aSTEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health$1210 $aCham [etc.]$cSpringer$d2017- 610 $aAdaptation Strategies$9KW:K 610 $aAgricultural Economics$9KW:K 610 $aArtificial Intelligence$9KW:K 610 $aClimate change$9KW:K 610 $aFood Security$9KW:K 610 $aMachine learning$9KW:K 610 $aSpecialty Crops$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aVuppalapati$bChandrasekar$3VANV230382$01072873 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240719$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-031-38399-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0279615 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-Book 9457 $e08eMF9457 20240716 996 $aSpecialty Crops for Climate Change Adaptation$93577815 997 $aUNICAMPANIA