Simulating the influence of crop spatial patterns on canola yield

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Simulating the influence of crop spatial patterns on canola yield. / Griepentrog, H.W. ; Nielsen, J.; Olsen, Jannie Maj; Weiner, Jacob.

Precision agriculture 2011: papers presented at the 8th European Conference on Precision Agriculture 2011. Czech Centre for Science and Society, 2011. p. 180-190.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Griepentrog, HW, Nielsen, J, Olsen, JM & Weiner, J 2011, Simulating the influence of crop spatial patterns on canola yield. in Precision agriculture 2011: papers presented at the 8th European Conference on Precision Agriculture 2011. Czech Centre for Science and Society, pp. 180-190, European Conference on Precision Agriculture 2011, Prague, Czech Republic, 11/07/2011.

APA

Griepentrog, H. W., Nielsen, J., Olsen, J. M., & Weiner, J. (2011). Simulating the influence of crop spatial patterns on canola yield. In Precision agriculture 2011: papers presented at the 8th European Conference on Precision Agriculture 2011 (pp. 180-190). Czech Centre for Science and Society.

Vancouver

Griepentrog HW, Nielsen J, Olsen JM, Weiner J. Simulating the influence of crop spatial patterns on canola yield. In Precision agriculture 2011: papers presented at the 8th European Conference on Precision Agriculture 2011. Czech Centre for Science and Society. 2011. p. 180-190

Author

Griepentrog, H.W. ; Nielsen, J. ; Olsen, Jannie Maj ; Weiner, Jacob. / Simulating the influence of crop spatial patterns on canola yield. Precision agriculture 2011: papers presented at the 8th European Conference on Precision Agriculture 2011. Czech Centre for Science and Society, 2011. pp. 180-190

Bibtex

@inproceedings{4d5f30b4ecdb4fc39043f9dbf513c8ba,
title = "Simulating the influence of crop spatial patterns on canola yield",
abstract = "The current non-uniform crop spatial distributions of individual cereal plants and widerspacedrow crops like maize and sugar beet can limit crop performance because of nonoptimalresource utilization. The aim of the present study was to investigate the potentialinfluence of two-dimensional crop plant uniformity on the yield of oil seed rape. Voronoipolygons (tessellations) which define the area closer to an individual than to any otherindividual were used as a measure of the area available to each plant, and corrections wereincluded for extreme polygon shape and eccentricity of the plant location within the polygon.These adjusted polygon areas were used to investigate the potential influence of two of themost important determinants of crop sowing spatial uniformity: row width and longitudinalspacing accuracy, on yield per unit area, and to ask how changes in seeding technology wouldinfluence crop performance. The potential for increased yield with improved seedingtechnology was shown. The results suggest that precision seeding can increase yield by 10 %.",
author = "H.W. Griepentrog and J. Nielsen and Olsen, {Jannie Maj} and Jacob Weiner",
year = "2011",
language = "English",
isbn = "978-80-904830-2-6",
pages = "180--190",
booktitle = "Precision agriculture 2011",
publisher = "Czech Centre for Science and Society",
address = "Czech Republic",
note = "null ; Conference date: 11-07-2011 Through 14-07-2011",

}

RIS

TY - GEN

T1 - Simulating the influence of crop spatial patterns on canola yield

AU - Griepentrog, H.W.

AU - Nielsen, J.

AU - Olsen, Jannie Maj

AU - Weiner, Jacob

N1 - Conference code: 8

PY - 2011

Y1 - 2011

N2 - The current non-uniform crop spatial distributions of individual cereal plants and widerspacedrow crops like maize and sugar beet can limit crop performance because of nonoptimalresource utilization. The aim of the present study was to investigate the potentialinfluence of two-dimensional crop plant uniformity on the yield of oil seed rape. Voronoipolygons (tessellations) which define the area closer to an individual than to any otherindividual were used as a measure of the area available to each plant, and corrections wereincluded for extreme polygon shape and eccentricity of the plant location within the polygon.These adjusted polygon areas were used to investigate the potential influence of two of themost important determinants of crop sowing spatial uniformity: row width and longitudinalspacing accuracy, on yield per unit area, and to ask how changes in seeding technology wouldinfluence crop performance. The potential for increased yield with improved seedingtechnology was shown. The results suggest that precision seeding can increase yield by 10 %.

AB - The current non-uniform crop spatial distributions of individual cereal plants and widerspacedrow crops like maize and sugar beet can limit crop performance because of nonoptimalresource utilization. The aim of the present study was to investigate the potentialinfluence of two-dimensional crop plant uniformity on the yield of oil seed rape. Voronoipolygons (tessellations) which define the area closer to an individual than to any otherindividual were used as a measure of the area available to each plant, and corrections wereincluded for extreme polygon shape and eccentricity of the plant location within the polygon.These adjusted polygon areas were used to investigate the potential influence of two of themost important determinants of crop sowing spatial uniformity: row width and longitudinalspacing accuracy, on yield per unit area, and to ask how changes in seeding technology wouldinfluence crop performance. The potential for increased yield with improved seedingtechnology was shown. The results suggest that precision seeding can increase yield by 10 %.

M3 - Article in proceedings

SN - 978-80-904830-2-6

SP - 180

EP - 190

BT - Precision agriculture 2011

PB - Czech Centre for Science and Society

Y2 - 11 July 2011 through 14 July 2011

ER -

ID: 37432334