Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II : 10-11 April 2017, Anaheim, California, United States (Englisch)
- Neue Suche nach: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Veranstaltung
- Weitere Informationen zu Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Veranstaltung:
- http://d-nb.info/gnd/1136809759
- Neue Suche nach: SPIE
- Weitere Informationen zu SPIE:
- http://d-nb.info/gnd/10182148-7
- Neue Suche nach: Thomasson, J. Alex
- Neue Suche nach: McKee, Mac
- Neue Suche nach: Moorhead, Robert J.
- Neue Suche nach: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Veranstaltung
- Weitere Informationen zu Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Veranstaltung:
- http://d-nb.info/gnd/1136809759
- Neue Suche nach: SPIE
- Weitere Informationen zu SPIE:
- http://d-nb.info/gnd/10182148-7
2017
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ISBN:
- Konferenzband / Print
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Titel:Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II : 10-11 April 2017, Anaheim, California, United States
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Beteiligte:Thomasson, J. Alex ( Herausgeber:in ) / McKee, Mac ( Herausgeber:in ) / Moorhead, Robert J. ( Herausgeber:in ) / Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Veranstaltung ( Autor:in ) / SPIE
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Kongress:Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping ; 2017 ; Anaheim, Calif.
SPIE Commercial + Scientific Sensing and Imaging ; 2017 ; Anaheim, Calif.
SPIE Defense + Commercial Sensing (DCS) ; 2017 ; Anaheim, Calif. -
Erschienen in:Proceedings of SPIE ; volume 10218
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Verlag:
- Neue Suche nach: SPIE
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Erscheinungsort:Bellingham, Washington, USA
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Erscheinungsdatum:2017
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Format / Umfang:circa 180 verschieden gezählte Seiten
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Anmerkungen:Illustrationen
Teilkonferenz von: SPIE Defense + Commercial Sensing (innerhalb von: SPIE Commercial + Scientific Sensing and Imaging)
Literaturangaben -
ISBN:
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Medientyp:Konferenzband
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Format:Print
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Sprache:Englisch
- Neue Suche nach: 50.22 / 48.50
- Weitere Informationen zu Basisklassifikation
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Inhaltsverzeichnis Konferenzband
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 102180A
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Use of UAV for support of intensive agricultural management decisions: from science to commercial applicationsTorres-Rua, Alfonso et al. | 2017
- 102180B
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A case study of comparing radiometrically calibrated reflectance of an image mosaic from unmanned aerial system with that of a single image from manned aircraft over a same areaShi, Yeyin / Thomasson, J. Alex / Yang, Chenghai / Cope, Dale / Sima, Chao et al. | 2017
- 102180C
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UAV remote sensing for phenotyping drought tolerance in peanutsBalota, Maria / Oakes, Joseph et al. | 2017
- 102180E
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UAS imaging for automated crop lodging detection: a case study over an experimental maize fieldChu, Tianxing / Starek, Michael J. / Brewer, Michael J. / Masiane, Tiisetso / Murray, Seth C. et al. | 2017
- 102180F
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Vineyard management in virtual reality: autonomous control of a transformable droneGriffiths, H. / Shen, H. / Li, N. / Rojas, S. / Perkins, N. / Liu, M. et al. | 2017
- 102180G
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Distinguishing plant population and variety with UAV-derived vegetation indicesOakes, Joseph / Balota, Maria et al. | 2017
- 102180H
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A predictive model for turfgrass color and quality evaluation using deep learning and UAV imageriesPhan, Claude / Raheja, Amar / Bhandari, Subodh / Green, Robert L. / Do, Dat et al. | 2017
- 102180I
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3D reconstruction optimization using imagery captured by unmanned aerial vehiclesBassie, Abby L. / Meacham, Sean / Young, David / Turnage, Gray / Moorhead, Robert J. et al. | 2017
- 102180K
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Automated geographic registration and radiometric correction for UAV-based mosaicsThomasson, J. Alex / Shi, Yeyin / Sima, Chao / Yang, Chenghai / Cope, Dale A. et al. | 2017
- 102180L
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Swimming in sensors and drowning in data: what is needed for UASs to be effective?Moorhead, Robert / Prince Czarnecki, Joby M. / Samiappan, Sathishkumar / Henry, W. Brien et al. | 2017
- 102180M
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The remote sensing data from your UAV probably isn't scientific, but it should be!McKee, Mac et al. | 2017
- 102180P
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Automated information-analytical system for thunderstorm monitoring and early warning alarms using modern physical sensors and information technologies with elements of artificial intelligenceBoldyreff, Anton S. / Bespalov, Dmitry A. / Adzhiev, Anatoly Kh. et al. | 2017
- 1021801
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Front Matter: Volume 10218| 2017
- 1021802
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Scaling up high throughput field phenotyping of corn and soy research plots using ground roversPeshlov, Boyan / Nakarmi, Akash / Baldwin, Steven / Essner, Scott / French, Jasenka et al. | 2017
- 1021803
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Automated phenotyping of permanent cropsMcPeek, K. Thomas / Steddom, Karl / Zamudio, Joseph / Pant, Paras / Mullenbach, Tyler et al. | 2017
- 1021804
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A custom multi-modal sensor suite and data analysis pipeline for aerial field phenotypingBartlett, Paul W. / Coblenz, Lauren / Sherwin, Gary / Stambler, Adam / van der Meer, Andries et al. | 2017
- 1021805
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Hyperspectral imaging to identify salt-tolerant wheat linesMoghimi, Ali / Yang, Ce / Miller, Marisa E. / Kianian, Shahryar / Marchetto, Peter et al. | 2017
- 1021806
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Towards collaboration between unmanned aerial and ground vehicles for precision agricultureBhandari, Subodh / Raheja, Amar / Green, Robert L. / Do, Dat et al. | 2017
- 1021807
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Automatic mission planning algorithms for aerial collection of imaging-specific tasksSponagle, Paul / Salvaggio, Carl et al. | 2017
- 1021808
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Melon yield prediction using small unmanned aerial vehiclesZhao, Tiebiao / Wang, Zhongdao / Yang, Qi / Chen, YangQuan et al. | 2017
- 1021809
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Real-time yield estimation based on deep learningRahnemoonfar, Maryam / Sheppard, Clay et al. | 2017