Sensor-based assessment of herbicide effects

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Sensor-based assessment of herbicide effects. / Streibig, Jens Carl; Rasmussen, Jesper; Andújar, D.; Andreasen, Christian; Berge, T.W.; Chachalis, D.; Dittmann, T.; Gerhards, R.; Giselsson, T. M.; Hamouz, P.; Jaeger-Hansen, C.; Jensen, K.; Jørgensen, R. N.; Keller, M.; Laursen, M.; Midtiby, H. S.; Nielsen, J.; Müller, S.; Nordmeyer, H.; Peteinatos, G.; Papadopoulos, A.; Svensgaard, J.; Weis, M.; Christensen, Svend.

In: Weed Research, Vol. 54, No. 3, 2014, p. 223-233.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Streibig, JC, Rasmussen, J, Andújar, D, Andreasen, C, Berge, TW, Chachalis, D, Dittmann, T, Gerhards, R, Giselsson, TM, Hamouz, P, Jaeger-Hansen, C, Jensen, K, Jørgensen, RN, Keller, M, Laursen, M, Midtiby, HS, Nielsen, J, Müller, S, Nordmeyer, H, Peteinatos, G, Papadopoulos, A, Svensgaard, J, Weis, M & Christensen, S 2014, 'Sensor-based assessment of herbicide effects', Weed Research, vol. 54, no. 3, pp. 223-233. https://doi.org/10.1111/wre.12079

APA

Streibig, J. C., Rasmussen, J., Andújar, D., Andreasen, C., Berge, T. W., Chachalis, D., Dittmann, T., Gerhards, R., Giselsson, T. M., Hamouz, P., Jaeger-Hansen, C., Jensen, K., Jørgensen, R. N., Keller, M., Laursen, M., Midtiby, H. S., Nielsen, J., Müller, S., Nordmeyer, H., ... Christensen, S. (2014). Sensor-based assessment of herbicide effects. Weed Research, 54(3), 223-233. https://doi.org/10.1111/wre.12079

Vancouver

Streibig JC, Rasmussen J, Andújar D, Andreasen C, Berge TW, Chachalis D et al. Sensor-based assessment of herbicide effects. Weed Research. 2014;54(3):223-233. https://doi.org/10.1111/wre.12079

Author

Streibig, Jens Carl ; Rasmussen, Jesper ; Andújar, D. ; Andreasen, Christian ; Berge, T.W. ; Chachalis, D. ; Dittmann, T. ; Gerhards, R. ; Giselsson, T. M. ; Hamouz, P. ; Jaeger-Hansen, C. ; Jensen, K. ; Jørgensen, R. N. ; Keller, M. ; Laursen, M. ; Midtiby, H. S. ; Nielsen, J. ; Müller, S. ; Nordmeyer, H. ; Peteinatos, G. ; Papadopoulos, A. ; Svensgaard, J. ; Weis, M. ; Christensen, Svend. / Sensor-based assessment of herbicide effects. In: Weed Research. 2014 ; Vol. 54, No. 3. pp. 223-233.

Bibtex

@article{5f5805ff2b5540f6bdc68121cc1d3a54,
title = "Sensor-based assessment of herbicide effects",
abstract = "Non-destructive assessment of herbicide effects may be able to support integrated weed management. To test whether effects of herbicides on canopy variables could be detected by sensors, two crops were used as models and treated with herbicides at BBCH 20 using a logarithmic sprayer. Twelve days after spraying at BBCH 25 and 42 days after sowing, nine sensor systems scanned a spring barley and an oilseed rape field experiment sown at different densities and sprayed with increasing field rates of glyphosate and tribenuron-methyl. The objective was to compare ED50s for crops and weeds derived by the different sensors in relation to crop density and herbicides. Although sensors were not directly developed to detect herbicide symptoms, they all detected changes in canopy colours or height and crop density. Generally ED50s showed the same pattern in response to crop density within herbicide, but there were marked differences between barley and oilseed rape. We suggest that the results of comparing the various sensor outputs could become a stepping stone to future standardisation for the benefit of the research and development of sensors that will detect herbicide effect on crops and weeds, particularly at the most vulnerable stages of development of the canopy.",
keywords = "Barley, Glyphosate, Image analysis, Logarithmic sprayer, Oilseed rape, Tribenuron-methyl",
author = "Streibig, {Jens Carl} and Jesper Rasmussen and D. And{\'u}jar and Christian Andreasen and T.W. Berge and D. Chachalis and T. Dittmann and R. Gerhards and Giselsson, {T. M.} and P. Hamouz and C. Jaeger-Hansen and K. Jensen and J{\o}rgensen, {R. N.} and M. Keller and M. Laursen and Midtiby, {H. S.} and J. Nielsen and S. M{\"u}ller and H. Nordmeyer and G. Peteinatos and A. Papadopoulos and J. Svensgaard and M. Weis and Svend Christensen",
year = "2014",
doi = "10.1111/wre.12079",
language = "English",
volume = "54",
pages = "223--233",
journal = "Weed Research",
issn = "0043-1737",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - Sensor-based assessment of herbicide effects

AU - Streibig, Jens Carl

AU - Rasmussen, Jesper

AU - Andújar, D.

AU - Andreasen, Christian

AU - Berge, T.W.

AU - Chachalis, D.

AU - Dittmann, T.

AU - Gerhards, R.

AU - Giselsson, T. M.

AU - Hamouz, P.

AU - Jaeger-Hansen, C.

AU - Jensen, K.

AU - Jørgensen, R. N.

AU - Keller, M.

AU - Laursen, M.

AU - Midtiby, H. S.

AU - Nielsen, J.

AU - Müller, S.

AU - Nordmeyer, H.

AU - Peteinatos, G.

AU - Papadopoulos, A.

AU - Svensgaard, J.

AU - Weis, M.

AU - Christensen, Svend

PY - 2014

Y1 - 2014

N2 - Non-destructive assessment of herbicide effects may be able to support integrated weed management. To test whether effects of herbicides on canopy variables could be detected by sensors, two crops were used as models and treated with herbicides at BBCH 20 using a logarithmic sprayer. Twelve days after spraying at BBCH 25 and 42 days after sowing, nine sensor systems scanned a spring barley and an oilseed rape field experiment sown at different densities and sprayed with increasing field rates of glyphosate and tribenuron-methyl. The objective was to compare ED50s for crops and weeds derived by the different sensors in relation to crop density and herbicides. Although sensors were not directly developed to detect herbicide symptoms, they all detected changes in canopy colours or height and crop density. Generally ED50s showed the same pattern in response to crop density within herbicide, but there were marked differences between barley and oilseed rape. We suggest that the results of comparing the various sensor outputs could become a stepping stone to future standardisation for the benefit of the research and development of sensors that will detect herbicide effect on crops and weeds, particularly at the most vulnerable stages of development of the canopy.

AB - Non-destructive assessment of herbicide effects may be able to support integrated weed management. To test whether effects of herbicides on canopy variables could be detected by sensors, two crops were used as models and treated with herbicides at BBCH 20 using a logarithmic sprayer. Twelve days after spraying at BBCH 25 and 42 days after sowing, nine sensor systems scanned a spring barley and an oilseed rape field experiment sown at different densities and sprayed with increasing field rates of glyphosate and tribenuron-methyl. The objective was to compare ED50s for crops and weeds derived by the different sensors in relation to crop density and herbicides. Although sensors were not directly developed to detect herbicide symptoms, they all detected changes in canopy colours or height and crop density. Generally ED50s showed the same pattern in response to crop density within herbicide, but there were marked differences between barley and oilseed rape. We suggest that the results of comparing the various sensor outputs could become a stepping stone to future standardisation for the benefit of the research and development of sensors that will detect herbicide effect on crops and weeds, particularly at the most vulnerable stages of development of the canopy.

KW - Barley

KW - Glyphosate

KW - Image analysis

KW - Logarithmic sprayer

KW - Oilseed rape

KW - Tribenuron-methyl

U2 - 10.1111/wre.12079

DO - 10.1111/wre.12079

M3 - Journal article

AN - SCOPUS:84898778040

VL - 54

SP - 223

EP - 233

JO - Weed Research

JF - Weed Research

SN - 0043-1737

IS - 3

ER -

ID: 129819912