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You searched for subject:(Weed detection). Showing records 1 – 7 of 7 total matches.

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1. Che'Ya, Nik Norasma. Site-Specific Weed Management Using Remote Sensing.

Degree: School of Agriculture and Food Sciences, 2016, University of Queensland

Subjects/Keywords: weed-crop classification; hyperspectral reflectance; weed mapping; site-specific weed management; weed detection; image processing; 0703 Crop and Pasture Production

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Che'Ya, N. N. (2016). Site-Specific Weed Management Using Remote Sensing. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:406131

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Che'Ya, Nik Norasma. “Site-Specific Weed Management Using Remote Sensing.” 2016. Thesis, University of Queensland. Accessed September 23, 2020. http://espace.library.uq.edu.au/view/UQ:406131.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Che'Ya, Nik Norasma. “Site-Specific Weed Management Using Remote Sensing.” 2016. Web. 23 Sep 2020.

Vancouver:

Che'Ya NN. Site-Specific Weed Management Using Remote Sensing. [Internet] [Thesis]. University of Queensland; 2016. [cited 2020 Sep 23]. Available from: http://espace.library.uq.edu.au/view/UQ:406131.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Che'Ya NN. Site-Specific Weed Management Using Remote Sensing. [Thesis]. University of Queensland; 2016. Available from: http://espace.library.uq.edu.au/view/UQ:406131

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

2. Alsalam, Bilal. A small autonomous UAV for detection and action in precision agriculture.

Degree: 2017, Queensland University of Technology

 This thesis develops a framework for Unmanned Aerial Vehicles (UAVs) with on-board computer for the purpose of detection and action in agriculture and other Remote… (more)

Subjects/Keywords: UAV; Remote Piloted Aircraft Systems; Low Altitude Remote Sensing; Weed Mapping; Weed Detection; Airborne Vision System; Vision Based Navigation; Aerial Robots; Guidance System

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alsalam, B. (2017). A small autonomous UAV for detection and action in precision agriculture. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/104318/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alsalam, Bilal. “A small autonomous UAV for detection and action in precision agriculture.” 2017. Thesis, Queensland University of Technology. Accessed September 23, 2020. https://eprints.qut.edu.au/104318/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alsalam, Bilal. “A small autonomous UAV for detection and action in precision agriculture.” 2017. Web. 23 Sep 2020.

Vancouver:

Alsalam B. A small autonomous UAV for detection and action in precision agriculture. [Internet] [Thesis]. Queensland University of Technology; 2017. [cited 2020 Sep 23]. Available from: https://eprints.qut.edu.au/104318/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alsalam B. A small autonomous UAV for detection and action in precision agriculture. [Thesis]. Queensland University of Technology; 2017. Available from: https://eprints.qut.edu.au/104318/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Banzato, Ticyana Carone. Mostarda-do-campo (Brassica rapa) um hospedeiro alternativo e cigarrinhas da espécie Agalia albidula um potencial vetor de um fitoplasma do grupo 16SrIII encontrado em campos de couve-flor.

Degree: Mestrado, Fitopatologia, 2014, University of São Paulo

Plantas de mostarda-do-campo (Brassica rapa) exibindo intenso superbrotamento de ramos finos, com folhas e flores de tamanho reduzido, foram observadas em campos cultivados com couve-flor.… (more)

Subjects/Keywords: 16SrIII group; Alternative hosts; Brássicas; Detecção; Detection; Fitoplasma; Grupo 16SrIII; Hospedeiro alternativo; Mollicutes; Mollicutes; Phytoplasma; Plantas daninhas; Weed plants

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APA (6th Edition):

Banzato, T. C. (2014). Mostarda-do-campo (Brassica rapa) um hospedeiro alternativo e cigarrinhas da espécie Agalia albidula um potencial vetor de um fitoplasma do grupo 16SrIII encontrado em campos de couve-flor. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/11/11135/tde-04022014-141422/ ;

Chicago Manual of Style (16th Edition):

Banzato, Ticyana Carone. “Mostarda-do-campo (Brassica rapa) um hospedeiro alternativo e cigarrinhas da espécie Agalia albidula um potencial vetor de um fitoplasma do grupo 16SrIII encontrado em campos de couve-flor.” 2014. Masters Thesis, University of São Paulo. Accessed September 23, 2020. http://www.teses.usp.br/teses/disponiveis/11/11135/tde-04022014-141422/ ;.

MLA Handbook (7th Edition):

Banzato, Ticyana Carone. “Mostarda-do-campo (Brassica rapa) um hospedeiro alternativo e cigarrinhas da espécie Agalia albidula um potencial vetor de um fitoplasma do grupo 16SrIII encontrado em campos de couve-flor.” 2014. Web. 23 Sep 2020.

Vancouver:

Banzato TC. Mostarda-do-campo (Brassica rapa) um hospedeiro alternativo e cigarrinhas da espécie Agalia albidula um potencial vetor de um fitoplasma do grupo 16SrIII encontrado em campos de couve-flor. [Internet] [Masters thesis]. University of São Paulo; 2014. [cited 2020 Sep 23]. Available from: http://www.teses.usp.br/teses/disponiveis/11/11135/tde-04022014-141422/ ;.

Council of Science Editors:

Banzato TC. Mostarda-do-campo (Brassica rapa) um hospedeiro alternativo e cigarrinhas da espécie Agalia albidula um potencial vetor de um fitoplasma do grupo 16SrIII encontrado em campos de couve-flor. [Masters Thesis]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/11/11135/tde-04022014-141422/ ;

4. Louargant, Marine. Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone : Weed detection by aerial imagery : toward weed management by UAV.

Degree: Docteur es, Instrumentation et informatique de l'image, 2016, Université de Bourgogne

Le contexte agricole actuel vise à réduire l’utilisation des produits phytosanitaires sur les parcelles. Dans ce cadre, la gestion des adventices consommant de grandes quantités… (more)

Subjects/Keywords: Image multispectrale; Détection d’adventices; Modélisation; Chaîne d’acquisition; Discriminations spatiale et spectrale; Multispectral image; Weed detection; Model; Acquisition chain; Spatial and spectral discrimination; 006.4

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Louargant, M. (2016). Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone : Weed detection by aerial imagery : toward weed management by UAV. (Doctoral Dissertation). Université de Bourgogne. Retrieved from http://www.theses.fr/2016DIJOS029

Chicago Manual of Style (16th Edition):

Louargant, Marine. “Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone : Weed detection by aerial imagery : toward weed management by UAV.” 2016. Doctoral Dissertation, Université de Bourgogne. Accessed September 23, 2020. http://www.theses.fr/2016DIJOS029.

MLA Handbook (7th Edition):

Louargant, Marine. “Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone : Weed detection by aerial imagery : toward weed management by UAV.” 2016. Web. 23 Sep 2020.

Vancouver:

Louargant M. Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone : Weed detection by aerial imagery : toward weed management by UAV. [Internet] [Doctoral dissertation]. Université de Bourgogne; 2016. [cited 2020 Sep 23]. Available from: http://www.theses.fr/2016DIJOS029.

Council of Science Editors:

Louargant M. Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone : Weed detection by aerial imagery : toward weed management by UAV. [Doctoral Dissertation]. Université de Bourgogne; 2016. Available from: http://www.theses.fr/2016DIJOS029


University of Saskatchewan

5. Fontaine, Veronique. Development of a vision-based local positioning system for weed detection.

Degree: 2004, University of Saskatchewan

 Herbicides applications could possibly be reduced if targeted. Targeting the applications requires prior identification and quantification of the weed population. This task could possibly be… (more)

Subjects/Keywords: machine vision; automation; precision agriculture; pattern recognition; agricultural applications; robotics; image processing; line detection; weed scouting; crop row detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fontaine, V. (2004). Development of a vision-based local positioning system for weed detection. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-05182004-051557

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fontaine, Veronique. “Development of a vision-based local positioning system for weed detection.” 2004. Thesis, University of Saskatchewan. Accessed September 23, 2020. http://hdl.handle.net/10388/etd-05182004-051557.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fontaine, Veronique. “Development of a vision-based local positioning system for weed detection.” 2004. Web. 23 Sep 2020.

Vancouver:

Fontaine V. Development of a vision-based local positioning system for weed detection. [Internet] [Thesis]. University of Saskatchewan; 2004. [cited 2020 Sep 23]. Available from: http://hdl.handle.net/10388/etd-05182004-051557.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fontaine V. Development of a vision-based local positioning system for weed detection. [Thesis]. University of Saskatchewan; 2004. Available from: http://hdl.handle.net/10388/etd-05182004-051557

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

6. Dunlop, Elizabeth A. Mapping and modelling the invasion dynamics of Senna obtusifolia at different levels of scale in Australia.

Degree: 2007, Queensland University of Technology

 The invasion of natural environments by alien species is a significant threat to the ecological integrity of these systems. Senna obtusifolia is an aggressive invasive… (more)

Subjects/Keywords: competition; CLIMEX; early detection; eco-climatic modelling; invasive species; population dynamics; remote sensing; scale; seed fate model; weed management

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dunlop, E. A. (2007). Mapping and modelling the invasion dynamics of Senna obtusifolia at different levels of scale in Australia. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/16490/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dunlop, Elizabeth A. “Mapping and modelling the invasion dynamics of Senna obtusifolia at different levels of scale in Australia.” 2007. Thesis, Queensland University of Technology. Accessed September 23, 2020. https://eprints.qut.edu.au/16490/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dunlop, Elizabeth A. “Mapping and modelling the invasion dynamics of Senna obtusifolia at different levels of scale in Australia.” 2007. Web. 23 Sep 2020.

Vancouver:

Dunlop EA. Mapping and modelling the invasion dynamics of Senna obtusifolia at different levels of scale in Australia. [Internet] [Thesis]. Queensland University of Technology; 2007. [cited 2020 Sep 23]. Available from: https://eprints.qut.edu.au/16490/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dunlop EA. Mapping and modelling the invasion dynamics of Senna obtusifolia at different levels of scale in Australia. [Thesis]. Queensland University of Technology; 2007. Available from: https://eprints.qut.edu.au/16490/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Nieuwenhuizen, A.T. Automated detection and control of volunteer potato plants.

Degree: 2009, NARCIS

 High amounts of manual labor are needed to control volunteer potato plants in arable fields. Due to the high costs, this leads to incomplete control… (more)

Subjects/Keywords: opslag (planten); Solanum tuberosum; aardappelen; suikerbieten; detectie; onkruidbestrijding; automatisering; machine vision; sproeiapparatuur voor kleine oppervlakken; Mechanisatie; Meet- en regeltechniek; volunteer plants; Solanum tuberosum; potatoes; sugarbeet; detection; weed control; automation; machine vision; small plot sprayers; Mechanization; Measurement and Control Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nieuwenhuizen, A. T. (2009). Automated detection and control of volunteer potato plants. (Doctoral Dissertation). NARCIS. Retrieved from http://library.wur.nl/WebQuery/wurpubs/383380 ; urn:nbn:nl:ui:32-383380 ; urn:nbn:nl:ui:32-383380 ; http://library.wur.nl/WebQuery/wurpubs/383380

Chicago Manual of Style (16th Edition):

Nieuwenhuizen, A T. “Automated detection and control of volunteer potato plants.” 2009. Doctoral Dissertation, NARCIS. Accessed September 23, 2020. http://library.wur.nl/WebQuery/wurpubs/383380 ; urn:nbn:nl:ui:32-383380 ; urn:nbn:nl:ui:32-383380 ; http://library.wur.nl/WebQuery/wurpubs/383380.

MLA Handbook (7th Edition):

Nieuwenhuizen, A T. “Automated detection and control of volunteer potato plants.” 2009. Web. 23 Sep 2020.

Vancouver:

Nieuwenhuizen AT. Automated detection and control of volunteer potato plants. [Internet] [Doctoral dissertation]. NARCIS; 2009. [cited 2020 Sep 23]. Available from: http://library.wur.nl/WebQuery/wurpubs/383380 ; urn:nbn:nl:ui:32-383380 ; urn:nbn:nl:ui:32-383380 ; http://library.wur.nl/WebQuery/wurpubs/383380.

Council of Science Editors:

Nieuwenhuizen AT. Automated detection and control of volunteer potato plants. [Doctoral Dissertation]. NARCIS; 2009. Available from: http://library.wur.nl/WebQuery/wurpubs/383380 ; urn:nbn:nl:ui:32-383380 ; urn:nbn:nl:ui:32-383380 ; http://library.wur.nl/WebQuery/wurpubs/383380

.