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A Framework for Digital Crop Growing Modeling based on Agri..:
, In:
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
,
Yang, Lin
;
Deng, Can
;
Bie, Zhilong
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022..
RT T1
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
: T1
A Framework for Digital Crop Growing Modeling based on Agricultural Internet of Things
UL https://suche.suub.uni-bremen.de/peid=ieee-9927809&Exemplar=1&LAN=DE A1 Yang, Lin A1 Deng, Can A1 Bie, Zhilong A1 Chen, Yu A1 Fu, Xiuwen A1 Fortino, Giancarlo YR 2022 K1 Temperature measurement K1 Crops K1 Prototypes K1 Predictive models K1 Data models K1 Agriculture K1 Real-time systems K1 Agricultural Internet of Things K1 Digital Crop Growing Model K1 Smart Agriculture K1 Controlled Environment Agriculture SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927809 DO https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927809 SF ELIB - SuUB Bremen
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