001442566 000__ 03853cam\a2200649\i\4500
001442566 001__ 1442566
001442566 003__ OCoLC
001442566 005__ 20230310003425.0
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001442566 019__ $$a1282000934$$a1282600473$$a1283860052$$a1285168447$$a1287769559$$a1296666855
001442566 020__ $$a9783030778606$$q(electronic bk.)
001442566 020__ $$a3030778606$$q(electronic bk.)
001442566 020__ $$z9783030778590
001442566 020__ $$z3030778592
001442566 0247_ $$a10.1007/978-3-030-77860-6$$2doi
001442566 035__ $$aSP(OCoLC)1281766583
001442566 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dDCT$$dOCLCF$$dN$T$$dOCLCO$$dDKU$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001442566 049__ $$aISEA
001442566 050_4 $$aG70.39$$b.F56 2020
001442566 08204 $$a621.36/78$$223
001442566 1112_ $$aFinDrones (Conference)$$d(2020 :$$cOnline)
001442566 24510 $$aNew developments and environmental applications of drones :$$bproceedings of FinDrones 2020 /$$cTarmo Lipping, Petri Linna, Nathaniel Narra, editors.
001442566 264_1 $$aCham :$$bSpringer,$$c[2022]
001442566 264_4 $$c©2022
001442566 300__ $$a1 online resource :$$billustrations (some color)
001442566 336__ $$atext$$btxt$$2rdacontent
001442566 337__ $$acomputer$$bc$$2rdamedia
001442566 338__ $$aonline resource$$bcr$$2rdacarrier
001442566 347__ $$atext file
001442566 347__ $$bPDF
001442566 500__ $$aInternational conference proceedings.
001442566 500__ $$aConference held virtually.
001442566 500__ $$aIncludes index.
001442566 5050_ $$aChapter 1. Unmanned Aircraft Systems and the Nordic Challenges -- Chapter 2. Applying an icing wind tunnel for drone propeller research, validation of new measurement instrument -- Chapter 3. Self-Swarming for Multi-Robot Systems Deployed for Situational Awareness -- Chapter 4. Toward Invisible Drones-An Ultra-HDR Optical Cloaking System -- Chapter 5. Long-Term Autonomy in Forest Environment using Self-Corrective SLAM -- Chapter 6. Future Possibilities and Challenges for UAV-based Imaging Development in Smart Farming -- Chapter 7. Role of Drones in Characterizing Soil Water Content in Open Field Cultivation -- Chapter 8. Ground penetrating radar mounted drones in agriculture -- Chapter 9. A minimalist approach to yield mapping of standing wheat crop with unmanned aerial vehicles -- Chapter 10. Assessment of Crop Yield Prediction Capabilities of CNN using Multisource Data.
001442566 506__ $$aAccess limited to authorized users.
001442566 520__ $$aThis volume presents the conference proceedings from FinDrones2020. The book highlights recent developments in drone technology by experts, academicians, and entrepreneurs for applications in agriculture, forestry, and other industries. Emphasis is placed on contextualizing the conference presentations and content to Finland and the unique challenges typical to this region. The work will be of interest to academicians and professionals involved in remote sensing applications of unmanned aerial vehicles, as well as enthusiasts of drone technological developments.
001442566 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 15, 2021).
001442566 650_0 $$aRemote sensing$$vCongresses.
001442566 650_0 $$aDrone aircraft$$vCongresses.
001442566 650_6 $$aTélédétection$$vCongrès.
001442566 650_6 $$aDrones$$vCongrès.
001442566 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001442566 655_7 $$aConference papers and proceedings.$$2lcgft
001442566 655_7 $$aActes de congrès.$$2rvmgf
001442566 655_0 $$aElectronic books.
001442566 7001_ $$aLipping, Tarmo,$$eeditor.
001442566 7001_ $$aLinna, Petri,$$eeditor.
001442566 7001_ $$aNarra, Nathaniel,$$eeditor.
001442566 77608 $$iPrint version:$$z3030778592$$z9783030778590$$w(OCoLC)1249072918
001442566 852__ $$bebk
001442566 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-77860-6$$zOnline Access$$91397441.1
001442566 909CO $$ooai:library.usi.edu:1442566$$pGLOBAL_SET
001442566 980__ $$aBIB
001442566 980__ $$aEBOOK
001442566 982__ $$aEbook
001442566 983__ $$aOnline
001442566 994__ $$a92$$bISE