Development of a novel mechatronic system for mechanical weed ...

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References Franz, E., Gebhardt, M. R. and Unklesbay, K. B. 1995, The use of local spectral properties of leaves as an aid for identifying weedseedlings in digital images. Transactions of the ASAE 34. pp.682-687 Frieben, B. 1990, Bedeutung des Organischen Landbaus für den Erhalt von Ackerwildkräutern (Relevance of the organic farming for the preservation of wild herbs organisms). Natur und Landschaft 50. pp.379-382 Griepentrog, H. W. 2007. Intra-row Weeding (Cycloid Hoe). Personal correspondence with source. p.7 Griepentrog, H. W. 2005. Weed Control by Autonomous Vehicle Systems. In: Workshop Proceedings Precision Farming - Sensing and Robotics, Hohenheim University, pp.6-9 Griepentrog, H. W., Nørremark, M., Nielsen, H. and Blackmore, B. S.. 2003. Individual plant care in cropping systems. In: (Stafford, J. V.) Proceedings of the 4th European Conference on PrecisionAgriculture ECPA. Wageningen Academic Press. pp.247-251 Grundy, A., Knott, C., Lutman, P., Marshall, J. Sunderalnd, K. Smith, B. and Fenlon, J.2003. The Impact of Herbicides on Weed Abundance and Biodiversity in Horticulture. Reporrt of the Defra Project HH3403SX. p.287 Guyer, D. E., Miles, G. E., Schiber, M. M., Mitchell, O. R. and Vanderbilt, V. C. 1986. Machine vision and image processing for plant identification. Transactions of the ASAE 29: pp.1500-1507 Haneklaus, S., Hagel, I., Paulsen H.-M., and Schnug, E. 2002. Objectives of plant nutrition research in organic farming. Landbauforsch Völkenrode 52(2), pp.61-68 Holub, A. 2000. The OO design process: Verifying the analysis. Jerri, A. J. 1977. The Shannon Sampling Theorem—Its Various Extensions and Applications: A Tutorial Review, Proceedings of the IEEE, 65. pp.1565–1595 130
References Johnson, W C and Mullinix, B G. 1995. Weed management in peanut using stale seedbed techniques. Weed Science 43: pp.293-297 Kristiansen, P.E. 2003. Sustainable Weed Management in Organic Herb and Vegetable Production. University of New England, Australia, School of Rural Science and Agriculture. p.235 Kudsk, P. and Streibig, J. C. 2003. Herbicides – a two-edged sword. Weed Research 2003 43, pp.90–102 Kurstjens, D. A. G. 1998. Review of mechanical and physical weed control technology. Report 98-03. DLO Institute of Agricultural and Environmental Engineering. Wageningen. p.103 Lampkin, N. 1990. Organic Farming. Ipswich, UK: Farming Press Books. p.700 Lampkin, N. 2003. Certified and policy-supported organic and in-conversion land area in Europe (ha). Available at: http://www.organic.aber.ac.uk. Accessed June 25, 2007 Lockhart, J.A.R. et al. 1990. The evolution of weed control in British agriculture. In: Weed Control Handbook. Blackwell; Oxford. pp.43-74. Merfield, C. 2000. Organic Weed Management: A Practical Guide. Available at www.merfield.com/research/organic-weed-management-a-practical-guide.pdf. Accessed June 25, 2007. p.29 Mohler, C. L. and Galford, A. E. 1997. Weed seedling emergence and seed survival: separating the effects of seed position and soil modification by tillage. Weed Research 37. pp.147-155. Naylor R.E.L. 2002. Weed Management Handbook. 9th Edition. Blackwell Publishing. p.432 Nilsson, U., Lundqvist, P. and Martensson, L. 2000. Organic farming and working conditions. In: IFOAM 2000 - The World Grows Organic. Proceedings of the 13th International IFOAM Scientific Conference. Basel, Switzerland 28 to 31 August 2000. vdf Hochschulverlag AG an der ETH Zurich, Basel. p.674 131
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Institut für Landtechnik der Rhein
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Development of a novel mechatronic
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Kurzfassung Entwicklung eines neuar
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Acknowledgements Acknowledgements M
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Table of contents Table of contents
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Glossary of abbreviations and symbo
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Symbol Unit Description Mmmax Nm Ma
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Symbol Unit Description Glossary of
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ωold ωout rad s -2 Latest rotatio
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Introduction The most frequently us
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Introduction application that had p
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Introduction be to go from a system
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Introduction limited and environmen
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Introduction than 40 years before g
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Introduction techniques. It is know
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Introduction Sowing and planting al
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Introduction Inter-row weeding syst
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Introduction 18 Figure 1.3 Inter-ro
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State of the art 20 Figure 2.1 a) F
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State of the art cylinder rotates a
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State of the art 1998). This device
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State of the art 26 2.2 Detection o
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State of the art The fluorescence s
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Definition of the problem and resea
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4 Materials and methods 4.1 Detecti
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Materials and methods Figure 4.1 a)
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Materials and methods Figure 4.3 a)
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4.1.2 Data acquisition 4.1.2.1 Hard
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4.1.4 Test objects Materials and me
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Materials and methods become a poss
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Materials and methods environments
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Materials and methods dimensions ne
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Materials and methods (PFM). As the
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Materials and methods A command sig
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Materials and methods The drive con
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Materials and methods Another tool
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Results and discussion 58 Figure 5.
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Results and discussion objects. Acc
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Results and discussion Plant positi
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Results and discussion Plant positi
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Results and discussion 70 5.1.4 Dis
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Results and discussion Connection b
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Results and discussion 76 5.2.1 Opt
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Results and discussion xmi1 = ( RLA
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Page 102 and 103: Results and discussion 84 5.2.4 Sel
Page 104 and 105: Results and discussion 86 5.2.5 Dis
Page 106 and 107: Results and discussion Conventional
Page 108 and 109: Results and discussion Since the fi
Page 110 and 111: Results and discussion To avoid con
Page 112 and 113: Results and discussion As the size
Page 114 and 115: Results and discussion 96 5.3.4 Alg
Page 116 and 117: Results and discussion 98 V = zc( t
Page 118 and 119: Results and discussion corresponds
Page 120 and 121: Results and discussion 102 5.3.6 Me
Page 122 and 123: Results and discussion hoeing accur
Page 124 and 125: Results and discussion between the
Page 126 and 127: Results and discussion distance fro
Page 128 and 129: Results and discussion Distribution
Page 130 and 131: Results and discussion cuts are ran
Page 132 and 133: Results and discussion Forward spee
Page 134 and 135: Results and discussion x [mm] Distr
Page 136 and 137: Results and discussion The experime
Page 139 and 140: 6 Summary Summary Neither a mechani
Page 141 and 142: Summary The third part of the work
Page 143 and 144: 7 Conclusions Conclusions The prese
Page 145 and 146: 8 References References Agrios, G.
Page 147: References in California's Sacramen
Page 151 and 152: References Schans, D. v. d. et al.
Page 153 and 154: List of figures List of figures Fig
Page 155 and 156: List of figures Figure 5.24 Scheme
Page 157 and 158: Plant position 9 Appendix Table 9.1
Page 159 and 160: Plant position Table 9.3 Detection
Page 169: Personal data Education About the a
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