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

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

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 differ...

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Bibliographic Details
Main Authors: Lydia Elstone, Kin Yau How, Samuel Brodie, Muhammad Zulfahmi Ghazali, William P. Heath, Bruce Grieve
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
precision weeding
multispectral imaging
kinetic stereo imaging
plant detection
Online Access:https://www.mdpi.com/1424-8220/20/2/455
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spelling doaj-ebe7decb7ce0421fbadee65f1d0670862020-11-25T02:05:45ZengMDPI AGSensors1424-82202020-01-0120245510.3390/s20020455s20020455High Speed Crop and Weed Identification in Lettuce Fields for Precision WeedingLydia Elstone0Kin Yau How1Samuel Brodie2Muhammad Zulfahmi Ghazali3William P. Heath4Bruce Grieve5School of Electrical and Electronic Engineering, The University of Manchester, Oxford Rd, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Rd, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Rd, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Rd, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Rd, Manchester M13 9PL, UKSchool of Electrical and Electronic Engineering, The University of Manchester, Oxford Rd, Manchester M13 9PL, UKPrecision 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.https://www.mdpi.com/1424-8220/20/2/455precision weedingmultispectral imagingkinetic stereo imagingplant detection
collection DOAJ
language English
format Article
sources DOAJ
author Lydia Elstone
Kin Yau How
Samuel Brodie
Muhammad Zulfahmi Ghazali
William P. Heath
Bruce Grieve
spellingShingle Lydia Elstone
Kin Yau How
Samuel Brodie
Muhammad Zulfahmi Ghazali
William P. Heath
Bruce Grieve
High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding
Sensors
precision weeding
multispectral imaging
kinetic stereo imaging
plant detection
author_facet Lydia Elstone
Kin Yau How
Samuel Brodie
Muhammad Zulfahmi Ghazali
William P. Heath
Bruce Grieve
author_sort Lydia Elstone
title High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding
title_short High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding
title_full High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding
title_fullStr High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding
title_full_unstemmed High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding
title_sort high speed crop and weed identification in lettuce fields for precision weeding
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-01-01
description 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.
topic precision weeding
multispectral imaging
kinetic stereo imaging
plant detection
url https://www.mdpi.com/1424-8220/20/2/455
work_keys_str_mv AT lydiaelstone highspeedcropandweedidentificationinlettucefieldsforprecisionweeding
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AT muhammadzulfahmighazali highspeedcropandweedidentificationinlettucefieldsforprecisionweeding
AT williampheath highspeedcropandweedidentificationinlettucefieldsforprecisionweeding
AT brucegrieve highspeedcropandweedidentificationinlettucefieldsforprecisionweeding
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