000842909 001__ 842909
000842909 005__ 20210129232520.0
000842909 0247_ $$2doi$$a10.1016/j.compag.2017.04.015
000842909 0247_ $$2ISSN$$a0168-1699
000842909 0247_ $$2ISSN$$a1872-7107
000842909 0247_ $$2WOS$$aWOS:000402360200008
000842909 037__ $$aFZJ-2018-01082
000842909 041__ $$aEnglish
000842909 082__ $$a620
000842909 1001_ $$0P:(DE-HGF)0$$aAgostini, Alejandro$$b0$$eCorresponding author
000842909 245__ $$aA cognitive architecture for automatic gardening
000842909 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2017
000842909 3367_ $$2DRIVER$$aarticle
000842909 3367_ $$2DataCite$$aOutput Types/Journal article
000842909 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1517574910_13740
000842909 3367_ $$2BibTeX$$aARTICLE
000842909 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000842909 3367_ $$00$$2EndNote$$aJournal Article
000842909 520__ $$aIn large industrial greenhouses, plants are usually treated following well established protocols for watering, nutrients, and shading/light. While this is practical for the automation of the process, it does not tap the full potential for optimal plant treatment. To more efficiently grow plants, specific treatments according to the plant individual needs should be applied. Experienced human gardeners are very good at treating plants individually. Unfortunately, hiring a crew of gardeners to carry out this task in large greenhouses is not cost effective. In this work we present a cognitive system that integrates artificial intelligence (AI) techniques for decision-making with robotics techniques for sensing and acting to autonomously treat plants using a real-robot platform. Artificial intelligence techniques are used to decide the amount of water and nutrients each plant needs according to the history of the plant. Robotic techniques for sensing measure plant attributes (e.g. leaves) from visual information using 3D model representations. These attributes are used by the AI system to make decisions about the treatment to apply. Acting techniques execute robot movements to supply the plants with the specified amount of water and nutrients.
000842909 536__ $$0G:(DE-HGF)POF3-582$$a582 - Plant Science (POF3-582)$$cPOF3-582$$fPOF III$$x0
000842909 588__ $$aDataset connected to CrossRef
000842909 7001_ $$0P:(DE-HGF)0$$aAlenyà, Guillem$$b1
000842909 7001_ $$0P:(DE-Juel1)129315$$aFischbach, Andreas$$b2$$ufzj
000842909 7001_ $$0P:(DE-Juel1)129394$$aScharr, Hanno$$b3$$ufzj
000842909 7001_ $$0P:(DE-HGF)0$$aWörgötter, Florentin$$b4
000842909 7001_ $$0P:(DE-HGF)0$$aTorras, Carme$$b5
000842909 773__ $$0PERI:(DE-600)2016151-7$$a10.1016/j.compag.2017.04.015$$gVol. 138, p. 69 - 79$$p69 - 79$$tComputers and electronics in agriculture$$v138$$x0168-1699$$y2017
000842909 8564_ $$uhttps://juser.fz-juelich.de/record/842909/files/1-s2.0-S0168169916304768-main.pdf$$yRestricted
000842909 8564_ $$uhttps://juser.fz-juelich.de/record/842909/files/1-s2.0-S0168169916304768-main.gif?subformat=icon$$xicon$$yRestricted
000842909 8564_ $$uhttps://juser.fz-juelich.de/record/842909/files/1-s2.0-S0168169916304768-main.jpg?subformat=icon-1440$$xicon-1440$$yRestricted
000842909 8564_ $$uhttps://juser.fz-juelich.de/record/842909/files/1-s2.0-S0168169916304768-main.jpg?subformat=icon-180$$xicon-180$$yRestricted
000842909 8564_ $$uhttps://juser.fz-juelich.de/record/842909/files/1-s2.0-S0168169916304768-main.jpg?subformat=icon-640$$xicon-640$$yRestricted
000842909 8564_ $$uhttps://juser.fz-juelich.de/record/842909/files/1-s2.0-S0168169916304768-main.pdf?subformat=pdfa$$xpdfa$$yRestricted
000842909 909CO $$ooai:juser.fz-juelich.de:842909$$pVDB
000842909 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129315$$aForschungszentrum Jülich$$b2$$kFZJ
000842909 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129394$$aForschungszentrum Jülich$$b3$$kFZJ
000842909 9131_ $$0G:(DE-HGF)POF3-582$$1G:(DE-HGF)POF3-580$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vPlant Science$$x0
000842909 9141_ $$y2017
000842909 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000842909 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000842909 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCOMPUT ELECTRON AGR : 2015
000842909 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000842909 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000842909 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000842909 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000842909 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000842909 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000842909 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences
000842909 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000842909 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000842909 920__ $$lyes
000842909 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
000842909 980__ $$ajournal
000842909 980__ $$aVDB
000842909 980__ $$aI:(DE-Juel1)IBG-2-20101118
000842909 980__ $$aUNRESTRICTED