001484412 000__ 03692cam\\2200649\i\4500
001484412 001__ 1484412
001484412 003__ OCoLC
001484412 005__ 20240117003323.0
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001484412 007__ cr\cn\nnnunnun
001484412 008__ 231130s2023\\\\si\a\\\\o\\\\\000\0\eng\d
001484412 019__ $$a1412622789
001484412 020__ $$a9789819979271$$q(electronic bk.)
001484412 020__ $$a9819979277$$q(electronic bk.)
001484412 020__ $$z9819979269
001484412 020__ $$z9789819979264
001484412 0247_ $$a10.1007/978-981-99-7927-1$$2doi
001484412 035__ $$aSP(OCoLC)1411017181
001484412 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO
001484412 049__ $$aISEA
001484412 050_4 $$aS494.5.I5
001484412 08204 $$a631.3$$223/eng/20231214
001484412 24500 $$aSensing technologies for field and in-house crop production :$$btechnology review and case studies /$$cMan Zhang, Han Li, Wenyi Sheng, Ruicheng Qiu, Zhao Zhang, editors.
001484412 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001484412 264_4 $$c©2023
001484412 300__ $$a1 online resource (vii, 136 pages) :$$billustrations (chiefly color).
001484412 336__ $$atext$$btxt$$2rdacontent
001484412 337__ $$acomputer$$bc$$2rdamedia
001484412 338__ $$aonline resource$$bcr$$2rdacarrier
001484412 4901_ $$aSmart agriculture ;$$vvolume 7
001484412 5050_ $$aA Review of Three-Dimensional Multispectral Imaging in Plant Phenotyping -- Recent Advances in Soil Nutrient Monitoring: A Review -- Plant phenotyping robot platform -- Autonomous crop image acquisition system based on ROS system -- SeedingsNet: Field wheat seedling density detection based on deep learning -- Wheat lodging detection using smart vision-based method -- Design, construction, and experiment-based key parameter de-2 termination of auto maize seed placement system -- Development and test of an auto seedling detection System.
001484412 506__ $$aAccess limited to authorized users.
001484412 520__ $$aThis book focuses on state-of-the-art sensing and automation technologies for field crops and in-house product production and provides a lot of innovative knowledge on image processing, AI algorithms and applications in agriculture, and robotics. This book provides undergraduate or graduate students with take-away knowledge for unmanned agricultural production, including but not limited to corn disease detection, wheat head detection and counting, and soil nutrient condition monitoring. The first three chapters focus on reviewing plant phenotyping sensing technology and robotics and soil nutrient monitoring, followed by in-house crop sensing robotics. Then two case studies on corn and the other two case studies on wheat are presented.
001484412 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 14, 2023).
001484412 650_6 $$aAgriculture$$xInnovations.
001484412 650_6 $$aIntelligence artificielle$$xApplications agricoles.
001484412 650_6 $$aTraitement d'images.
001484412 650_0 $$aAgricultural innovations.$$zDeveloping countries$$0(DLC)sh2009114146
001484412 650_0 $$aArtificial intelligence$$xAgricultural applications.$$xMedical applications$$0(DLC)sh 88003000
001484412 650_0 $$aDetectors.$$0(DLC)sh 85014260
001484412 650_0 $$aImage processing.
001484412 655_0 $$aElectronic books.
001484412 7001_ $$aZhang, Man,$$eeditor.$$0(OCoLC)oca03748408
001484412 7001_ $$aLi, Han,$$eeditor.$$d1757-1804$$0(OCoLC)oca00255431
001484412 7001_ $$aSheng, Wenyi,$$eeditor.
001484412 7001_ $$aQiu, Ruicheng,$$eeditor.
001484412 7001_ $$aZhang, Zhao,$$eeditor.$$c(Computer scientist)$$0(Uk)009222723
001484412 77608 $$iPrint version: $$z9819979269$$z9789819979264$$w(OCoLC)1402245031
001484412 830_0 $$aSmart agriculture ;$$vv. 7.
001484412 852__ $$bebk
001484412 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-7927-1$$zOnline Access$$91397441.1
001484412 909CO $$ooai:library.usi.edu:1484412$$pGLOBAL_SET
001484412 980__ $$aBIB
001484412 980__ $$aEBOOK
001484412 982__ $$aEbook
001484412 983__ $$aOnline
001484412 994__ $$a92$$bISE