Optical Sensing of Weed Infestations at Harvest

Kochia (Kochia scoparia L.), Russian thistle (Salsola tragus L.), and prickly lettuce (Lactuca serriola L.) are economically important weeds infesting dryland wheat (Triticum aestivum L.) production systems in the western United States. Those weeds produce most of their seeds post-harvest. The objec...
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Autor*in:	Judit Barroso [verfasserIn] John McCallum [verfasserIn] Dan Long [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	weed mapping on-line optical sensing site-specific weed management

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 17(2017), 10, p 2381
Übergeordnetes Werk:	volume:17 ; year:2017 ; number:10, p 2381

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s17102381

Katalog-ID:	DOAJ078995183

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language	English
source	In Sensors 17(2017), 10, p 2381 volume:17 year:2017 number:10, p 2381
sourceStr	In Sensors 17(2017), 10, p 2381 volume:17 year:2017 number:10, p 2381
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	weed mapping on-line optical sensing site-specific weed management Chemical technology
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container_title	Sensors
authorswithroles_txt_mv	Judit Barroso @@aut@@ John McCallum @@aut@@ Dan Long @@aut@@
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callnumber-first	T - Technology
author	Judit Barroso
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topic_title	TP1-1185 Optical Sensing of Weed Infestations at Harvest weed mapping on-line optical sensing site-specific weed management
topic	misc TP1-1185 misc weed mapping misc on-line optical sensing misc site-specific weed management misc Chemical technology
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title	Optical Sensing of Weed Infestations at Harvest
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title_full	Optical Sensing of Weed Infestations at Harvest
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title_sort	optical sensing of weed infestations at harvest
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title_auth	Optical Sensing of Weed Infestations at Harvest
abstract	Kochia (Kochia scoparia L.), Russian thistle (Salsola tragus L.), and prickly lettuce (Lactuca serriola L.) are economically important weeds infesting dryland wheat (Triticum aestivum L.) production systems in the western United States. Those weeds produce most of their seeds post-harvest. The objectives of this study were to determine the ability of an optical sensor, installed for on-the-go measurement of grain protein concentration, to detect the presence of green plant matter in flowing grain and assess the potential usefulness of this information for mapping weeds at harvest. Spectra of the grain stream were recorded continuously at a rate of 0.33 Hz during harvest of two spring wheat fields of 1.9 and 5.4 ha. All readings were georeferenced using a Global Positioning System (GPS) receiver with 1 m positional accuracy. Chlorophyll of green plant matter was detectable in the red (638–710 nm) waveband. Maps of the chlorophyll signal from both fields showed an overall agreement of 78.1% with reference maps, one constructed prior to harvest and the other at harvest time, both based on visual evaluations of the three green weed species conducted by experts. Information on weed distributions at harvest may be useful for controlling post-harvest using variable rate technology for herbicide applications.
abstractGer	Kochia (Kochia scoparia L.), Russian thistle (Salsola tragus L.), and prickly lettuce (Lactuca serriola L.) are economically important weeds infesting dryland wheat (Triticum aestivum L.) production systems in the western United States. Those weeds produce most of their seeds post-harvest. The objectives of this study were to determine the ability of an optical sensor, installed for on-the-go measurement of grain protein concentration, to detect the presence of green plant matter in flowing grain and assess the potential usefulness of this information for mapping weeds at harvest. Spectra of the grain stream were recorded continuously at a rate of 0.33 Hz during harvest of two spring wheat fields of 1.9 and 5.4 ha. All readings were georeferenced using a Global Positioning System (GPS) receiver with 1 m positional accuracy. Chlorophyll of green plant matter was detectable in the red (638–710 nm) waveband. Maps of the chlorophyll signal from both fields showed an overall agreement of 78.1% with reference maps, one constructed prior to harvest and the other at harvest time, both based on visual evaluations of the three green weed species conducted by experts. Information on weed distributions at harvest may be useful for controlling post-harvest using variable rate technology for herbicide applications.
abstract_unstemmed	Kochia (Kochia scoparia L.), Russian thistle (Salsola tragus L.), and prickly lettuce (Lactuca serriola L.) are economically important weeds infesting dryland wheat (Triticum aestivum L.) production systems in the western United States. Those weeds produce most of their seeds post-harvest. The objectives of this study were to determine the ability of an optical sensor, installed for on-the-go measurement of grain protein concentration, to detect the presence of green plant matter in flowing grain and assess the potential usefulness of this information for mapping weeds at harvest. Spectra of the grain stream were recorded continuously at a rate of 0.33 Hz during harvest of two spring wheat fields of 1.9 and 5.4 ha. All readings were georeferenced using a Global Positioning System (GPS) receiver with 1 m positional accuracy. Chlorophyll of green plant matter was detectable in the red (638–710 nm) waveband. Maps of the chlorophyll signal from both fields showed an overall agreement of 78.1% with reference maps, one constructed prior to harvest and the other at harvest time, both based on visual evaluations of the three green weed species conducted by experts. Information on weed distributions at harvest may be useful for controlling post-harvest using variable rate technology for herbicide applications.
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title_short	Optical Sensing of Weed Infestations at Harvest
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