Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings

Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, Anders Krogh Mortensen, Sanmohan Baby

Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

Resumé

This work contributes a statistical model and simulation framework yielding the best estimate possible for the potential herbicide reduction when using the MoDiCoVi algorithm all the while requiring an efficacy comparable to conventional spraying. In June 2013 a maize field located in Denmark were seeded. The field was divided into parcels which were assigned to one of two main groups: 1) Control, consisting of subgroups of no spray and full dose spray; 2) MoDiCoVi algorithm subdivided into five different leaf cover thresholds for spray activation. Also approximately 25% of the parcels were seeded with additional weeds perpendicular to the maize rows. In total 299 parcels were randomly assigned with the 28 different treatment combinations. In the statistical analysis, bootstrapping was used for balancing the number of replicates. The achieved potential herbicide savings was found to be 70% to 95% depending on the initial weed coverage. However, additional field trials covering more seasons and locations are needed to verify the generalisation of these results. There is a potential for further herbicide savings as the time interval between the first and second spraying session was not long enough for the weeds to turn yellow, instead, they only stagnated in growth.
OriginalsprogEngelsk
TidsskriftInternational Journal of Agricultural and Biosystems Engineering
Vol/bind4
Udgave nummer4
Antal sider1
StatusUdgivet - 2017
Begivenhed19th International Conference on Precision Agriculture - Kyoto, Japan
Varighed: 27. apr. 201728. apr. 2017
Konferencens nummer: 19
https://www.waset.org/conference/2017/04/kyoto/ICPA/home

Konference

Konference19th International Conference on Precision Agriculture
Nummer19
LandJapan
ByKyoto
Periode27/04/201728/04/2017
Internetadresse

Emneord

  • Herbicide reduction
  • Macrosprayer
  • Weed crop discrimination
  • Site-specific
  • Sprayer boom

Citer dette

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title = "Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings",
abstract = "This work contributes a statistical model and simulation framework yielding the best estimate possible for the potential herbicide reduction when using the MoDiCoVi algorithm all the while requiring an efficacy comparable to conventional spraying. In June 2013 a maize field located in Denmark were seeded. The field was divided into parcels which were assigned to one of two main groups: 1) Control, consisting of subgroups of no spray and full dose spray; 2) MoDiCoVi algorithm subdivided into five different leaf cover thresholds for spray activation. Also approximately 25{\%} of the parcels were seeded with additional weeds perpendicular to the maize rows. In total 299 parcels were randomly assigned with the 28 different treatment combinations. In the statistical analysis, bootstrapping was used for balancing the number of replicates. The achieved potential herbicide savings was found to be 70{\%} to 95{\%} depending on the initial weed coverage. However, additional field trials covering more seasons and locations are needed to verify the generalisation of these results. There is a potential for further herbicide savings as the time interval between the first and second spraying session was not long enough for the weeds to turn yellow, instead, they only stagnated in growth.",
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Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings. / Stigaard Laursen, Morten; Jørgensen, Rasmus Nyholm; Midtiby, Henrik Skov; Mortensen, Anders Krogh; Baby, Sanmohan.

I: International Journal of Agricultural and Biosystems Engineering, Bind 4, Nr. 4, 2017.

Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningpeer review

TY - ABST

T1 - Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops: Statistical Evaluation of the Potential Herbicide Savings

AU - Stigaard Laursen, Morten

AU - Jørgensen, Rasmus Nyholm

AU - Midtiby, Henrik Skov

AU - Mortensen, Anders Krogh

AU - Baby, Sanmohan

PY - 2017

Y1 - 2017

N2 - This work contributes a statistical model and simulation framework yielding the best estimate possible for the potential herbicide reduction when using the MoDiCoVi algorithm all the while requiring an efficacy comparable to conventional spraying. In June 2013 a maize field located in Denmark were seeded. The field was divided into parcels which were assigned to one of two main groups: 1) Control, consisting of subgroups of no spray and full dose spray; 2) MoDiCoVi algorithm subdivided into five different leaf cover thresholds for spray activation. Also approximately 25% of the parcels were seeded with additional weeds perpendicular to the maize rows. In total 299 parcels were randomly assigned with the 28 different treatment combinations. In the statistical analysis, bootstrapping was used for balancing the number of replicates. The achieved potential herbicide savings was found to be 70% to 95% depending on the initial weed coverage. However, additional field trials covering more seasons and locations are needed to verify the generalisation of these results. There is a potential for further herbicide savings as the time interval between the first and second spraying session was not long enough for the weeds to turn yellow, instead, they only stagnated in growth.

AB - This work contributes a statistical model and simulation framework yielding the best estimate possible for the potential herbicide reduction when using the MoDiCoVi algorithm all the while requiring an efficacy comparable to conventional spraying. In June 2013 a maize field located in Denmark were seeded. The field was divided into parcels which were assigned to one of two main groups: 1) Control, consisting of subgroups of no spray and full dose spray; 2) MoDiCoVi algorithm subdivided into five different leaf cover thresholds for spray activation. Also approximately 25% of the parcels were seeded with additional weeds perpendicular to the maize rows. In total 299 parcels were randomly assigned with the 28 different treatment combinations. In the statistical analysis, bootstrapping was used for balancing the number of replicates. The achieved potential herbicide savings was found to be 70% to 95% depending on the initial weed coverage. However, additional field trials covering more seasons and locations are needed to verify the generalisation of these results. There is a potential for further herbicide savings as the time interval between the first and second spraying session was not long enough for the weeds to turn yellow, instead, they only stagnated in growth.

KW - Herbicide reduction

KW - Macrosprayer

KW - Weed crop discrimination

KW - Site-specific

KW - Sprayer boom

M3 - Conference abstract in journal

VL - 4

JO - International Journal of Agricultural and Biosystems Engineering

JF - International Journal of Agricultural and Biosystems Engineering

IS - 4

ER -