Mapping redheaded cockchafer infestations in pastures: Are PA tools up to the job?

A. Cosby; M. Trotter; G. Falzon; J. Stanley; K. Powell; D. Schneider; D. Lamb

doi:10.3920/978-90-8686-778-3_72

Mapping redheaded cockchafer infestations in pastures: Are PA tools up to the job?

A. Cosby
, M. Trotter
, G. Falzon
, J. Stanley
, K. Powell
, D. Schneider
, D. Lamb

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

The redheaded cockchafer (Adoryphorus couloni) (Burmiester) (RHC) is a serious pest of improved pastures in south-eastern Australia and current detection relies on pasture damage becoming visible to the naked eye. Various precision agriculture sensors are able to delineate spatial variability in soil texture and moisture content as well as numerous contributing factors to the photosynthetic 'vigour' of pastures, namely biomass, canopy architecture and species composition. The aim of this paper is to seek to determine whether the same technologies can be used to identify paddock zones prone to RHC infestation. This study investigates the association between data generated by a CropCircle™ (an active optical plant canopy sensor (AOS)), an EM38, (an electromagnetic induction soil sensor), and third instar RHC larvae counts. Results indicate that the red wavelength reflected component of the AOS from the pasture canopies offered the most accurate model of third instar RHC larvae count (residual mean square error = 1.04).

Original language	English
Title of host publication	Precision Agriculture 2013
Subtitle of host publication	Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013
Editors	John V. Stafford
Place of Publication	Wageningen
Publisher	Wageningen Academic Publishers
Pages	585-592
Number of pages	8
ISBN (Electronic)	978-90-8686-778-3
ISBN (Print)	9789086862245
DOIs	https://doi.org/10.3920/978-90-8686-778-3_72
Publication status	Published - 2013
Externally published	Yes
Event	9th European Conference on Precision Agriculture, ECPA 2013 - Lleida, Catalonia, Spain Duration: 7 Jul 2013 → 11 Jul 2013

Conference

Conference	9th European Conference on Precision Agriculture, ECPA 2013
Country/Territory	Spain
City	Lleida, Catalonia
Period	7/07/13 → 11/07/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

Keywords

Active optical sensors
Adoryphorus couloni
Insect pest management
Redheaded cockchafer
Soil electrical conductivity

Access to Document

10.3920/978-90-8686-778-3_72Licence: In Copyright

Cite this

Cosby, A., Trotter, M., Falzon, G., Stanley, J., Powell, K., Schneider, D., & Lamb, D. (2013). Mapping redheaded cockchafer infestations in pastures: Are PA tools up to the job? In J. V. Stafford (Ed.), Precision Agriculture 2013: Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013 (pp. 585-592). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-778-3_72

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title = "Mapping redheaded cockchafer infestations in pastures: Are PA tools up to the job?",

abstract = "The redheaded cockchafer (Adoryphorus couloni) (Burmiester) (RHC) is a serious pest of improved pastures in south-eastern Australia and current detection relies on pasture damage becoming visible to the naked eye. Various precision agriculture sensors are able to delineate spatial variability in soil texture and moisture content as well as numerous contributing factors to the photosynthetic 'vigour' of pastures, namely biomass, canopy architecture and species composition. The aim of this paper is to seek to determine whether the same technologies can be used to identify paddock zones prone to RHC infestation. This study investigates the association between data generated by a CropCircle{\texttrademark} (an active optical plant canopy sensor (AOS)), an EM38, (an electromagnetic induction soil sensor), and third instar RHC larvae counts. Results indicate that the red wavelength reflected component of the AOS from the pasture canopies offered the most accurate model of third instar RHC larvae count (residual mean square error = 1.04).",

keywords = "Active optical sensors, Adoryphorus couloni, Insect pest management, Redheaded cockchafer, Soil electrical conductivity",

author = "A. Cosby and M. Trotter and G. Falzon and J. Stanley and K. Powell and D. Schneider and D. Lamb",

year = "2013",

doi = "10.3920/978-90-8686-778-3\_72",

language = "English",

isbn = "9789086862245",

pages = "585--592",

editor = "Stafford, \{John V.\}",

booktitle = "Precision Agriculture 2013",

publisher = "Wageningen Academic Publishers",

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}

Cosby, A, Trotter, M, Falzon, G, Stanley, J, Powell, K, Schneider, D & Lamb, D 2013, Mapping redheaded cockchafer infestations in pastures: Are PA tools up to the job? in JV Stafford (ed.), Precision Agriculture 2013: Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013. Wageningen Academic Publishers, Wageningen, pp. 585-592, 9th European Conference on Precision Agriculture, ECPA 2013, Lleida, Catalonia, Spain, 7/07/13. https://doi.org/10.3920/978-90-8686-778-3_72

Mapping redheaded cockchafer infestations in pastures: Are PA tools up to the job? / Cosby, A.; Trotter, M.; Falzon, G. et al.
Precision Agriculture 2013: Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013. ed. / John V. Stafford. Wageningen: Wageningen Academic Publishers, 2013. p. 585-592.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Mapping redheaded cockchafer infestations in pastures

T2 - 9th European Conference on Precision Agriculture, ECPA 2013

AU - Cosby, A.

AU - Trotter, M.

AU - Falzon, G.

AU - Stanley, J.

AU - Powell, K.

AU - Schneider, D.

AU - Lamb, D.

PY - 2013

Y1 - 2013

N2 - The redheaded cockchafer (Adoryphorus couloni) (Burmiester) (RHC) is a serious pest of improved pastures in south-eastern Australia and current detection relies on pasture damage becoming visible to the naked eye. Various precision agriculture sensors are able to delineate spatial variability in soil texture and moisture content as well as numerous contributing factors to the photosynthetic 'vigour' of pastures, namely biomass, canopy architecture and species composition. The aim of this paper is to seek to determine whether the same technologies can be used to identify paddock zones prone to RHC infestation. This study investigates the association between data generated by a CropCircle™ (an active optical plant canopy sensor (AOS)), an EM38, (an electromagnetic induction soil sensor), and third instar RHC larvae counts. Results indicate that the red wavelength reflected component of the AOS from the pasture canopies offered the most accurate model of third instar RHC larvae count (residual mean square error = 1.04).

AB - The redheaded cockchafer (Adoryphorus couloni) (Burmiester) (RHC) is a serious pest of improved pastures in south-eastern Australia and current detection relies on pasture damage becoming visible to the naked eye. Various precision agriculture sensors are able to delineate spatial variability in soil texture and moisture content as well as numerous contributing factors to the photosynthetic 'vigour' of pastures, namely biomass, canopy architecture and species composition. The aim of this paper is to seek to determine whether the same technologies can be used to identify paddock zones prone to RHC infestation. This study investigates the association between data generated by a CropCircle™ (an active optical plant canopy sensor (AOS)), an EM38, (an electromagnetic induction soil sensor), and third instar RHC larvae counts. Results indicate that the red wavelength reflected component of the AOS from the pasture canopies offered the most accurate model of third instar RHC larvae count (residual mean square error = 1.04).

KW - Active optical sensors

KW - Adoryphorus couloni

KW - Insect pest management

KW - Redheaded cockchafer

KW - Soil electrical conductivity

UR - https://www.scopus.com/pages/publications/84893422415

U2 - 10.3920/978-90-8686-778-3_72

DO - 10.3920/978-90-8686-778-3_72

M3 - Conference contribution

AN - SCOPUS:84893422415

SN - 9789086862245

SP - 585

EP - 592

BT - Precision Agriculture 2013

A2 - Stafford, John V.

PB - Wageningen Academic Publishers

CY - Wageningen

Y2 - 7 July 2013 through 11 July 2013

ER -

Cosby A, Trotter M, Falzon G, Stanley J, Powell K, Schneider D et al. Mapping redheaded cockchafer infestations in pastures: Are PA tools up to the job? In Stafford JV, editor, Precision Agriculture 2013: Papers Presented at the 9th European Conference on Precision Agriculture, ECPA 2013. Wageningen: Wageningen Academic Publishers. 2013. p. 585-592 doi: 10.3920/978-90-8686-778-3_72

Mapping redheaded cockchafer infestations in pastures: Are PA tools up to the job?

Abstract

Conference

UN SDGs

Keywords

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