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020 _a9789811661242
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024 7 _a10.1007/978-981-16-6124-2
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aSmart Agriculture Automation Using Advanced Technologies
_h[electronic resource] :
_bData Analytics and Machine Learning, Cloud Architecture, Automation and IoT /
_cedited by Amitava Choudhury, Arindam Biswas, T. P. Singh, Santanu Kumar Ghosh.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXIV, 228 p. 86 illus., 74 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTransactions on Computer Systems and Networks,
_x2730-7492
505 0 _aIoT Foundations and Its Application -- Secure and Smart Internet of Things (IoT) -- Machine Learning and IoT in Agriculture -- IoT-Enabled Agricultural System Applications, Challenges and Security Issue -- Blockchain In Agriculture – Improving Agricultural Techniques -- IoT and agriculture data analysis for smart farm -- Precision Farming and its applications -- Agricultural Drones vs Inter net of Things -- Automation in agriculture using artificial intelligence -- Computer Vision and Pattern Recognition for Smart Agriculture.
520 _aThis book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.
650 0 _aArtificial intelligence.
650 0 _aInternet of things.
650 0 _aQuantitative research.
650 1 4 _aArtificial Intelligence.
650 2 4 _aInternet of Things.
650 2 4 _aData Analysis and Big Data.
700 1 _aChoudhury, Amitava.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBiswas, Arindam.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSingh, T. P.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGhosh, Santanu Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811661235
776 0 8 _iPrinted edition:
_z9789811661259
776 0 8 _iPrinted edition:
_z9789811661266
830 0 _aTransactions on Computer Systems and Networks,
_x2730-7492
856 4 0 _uhttps://doi.org/10.1007/978-981-16-6124-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c184800
_d184800