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High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding

Research output: Contribution to journal › Article › peer-review

Standard Standard

High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding. / Elstone, Lydia; How, Kin Yau; Brodie, Samuel et al.
In: Sensors, Vol. 20, No. 2, 14.01.2020.

Research output: Contribution to journal › Article › peer-review

HarvardHarvard

Elstone, L, How, KY, Brodie, S, Ghazali, MZ, Heath, WP & Grieve, B 2020, 'High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding', Sensors, vol. 20, no. 2. https://doi.org/10.3390/s20020455

APA

Elstone, L., How, K. Y., Brodie, S., Ghazali, M. Z., Heath, W. P., & Grieve, B. (2020). High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding. Sensors, 20(2). https://doi.org/10.3390/s20020455

CBE

Elstone L, How KY, Brodie S, Ghazali MZ, Heath WP, Grieve B. 2020. High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding. Sensors. 20(2). https://doi.org/10.3390/s20020455

MLA

Elstone, Lydia et al. "High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding". Sensors. 2020. 20(2). https://doi.org/10.3390/s20020455

VancouverVancouver

Elstone L, How KY, Brodie S, Ghazali MZ, Heath WP, Grieve B. High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding. Sensors. 2020 Jan 14;20(2). doi: 10.3390/s20020455

Author

Elstone, Lydia ; How, Kin Yau ; Brodie, Samuel et al. / High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding. In: Sensors. 2020 ; Vol. 20, No. 2.

RIS

TY - JOUR

T1 - High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding

AU - Elstone, Lydia

AU - How, Kin Yau

AU - Brodie, Samuel

AU - Ghazali, Muhammad Zulfahmi

AU - Heath, William P.

AU - Grieve, Bruce

PY - 2020/1/14

Y1 - 2020/1/14

N2 - Precision weeding can significantly reduce or even eliminate the use of herbicides in farming. To achieve high-precision, individual targeting of weeds, high-speed, low-cost plant identification is essential. Our system using the red, green, and near-infrared reflectance, combined with a size differentiation method, is used to identify crops and weeds in lettuce fields. Illumination is provided by LED arrays at 525, 650, and 850 nm, and images are captured in a single-shot using a modified RGB camera. A kinematic stereo method is utilised to compensate for parallax error in images and provide accurate location data of plants. The system was verified in field trials across three lettuce fields at varying growth stages from 0.5 to 10 km/h. In-field results showed weed and crop identification rates of 56% and 69%, respectively. Post-trial processing resulted in average weed and crop identifications of 81% and 88%, respectively

AB - Precision weeding can significantly reduce or even eliminate the use of herbicides in farming. To achieve high-precision, individual targeting of weeds, high-speed, low-cost plant identification is essential. Our system using the red, green, and near-infrared reflectance, combined with a size differentiation method, is used to identify crops and weeds in lettuce fields. Illumination is provided by LED arrays at 525, 650, and 850 nm, and images are captured in a single-shot using a modified RGB camera. A kinematic stereo method is utilised to compensate for parallax error in images and provide accurate location data of plants. The system was verified in field trials across three lettuce fields at varying growth stages from 0.5 to 10 km/h. In-field results showed weed and crop identification rates of 56% and 69%, respectively. Post-trial processing resulted in average weed and crop identifications of 81% and 88%, respectively

U2 - 10.3390/s20020455

DO - 10.3390/s20020455

M3 - Erthygl

VL - 20

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 2

ER -