Articles with "weed" as a keyword



Allelopathic effects of Borreria latifolia on weed germination and identification of allelochemicals.

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Published in 2024 at "Journal of the science of food and agriculture"

DOI: 10.1002/jsfa.13859

Abstract: BACKGROUND Borreria latifolia (Aubl.) K. Schum (Rubiaceae) is an annual weed with a strong allelopathic inhibitory effect on malignant weeds in orchards in southern China. This study was carried out to investigate its allelopathic potential… read more here.

Keywords: borreria latifolia; leaf extract; allelopathic effects; extracts latifolia ... See more keywords

Testing the ability of unmanned aerial systems and machine learning to map weeds at subfield scales: a test with the weed Alopecurus myosuroides (Huds)

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Published in 2019 at "Pest Management Science"

DOI: 10.1002/ps.5444

Abstract: Abstract BACKGROUND It is important to map agricultural weed populations to improve management and maintain future food security. Advances in data collection and statistical methodology have created new opportunities to aid in the mapping of… read more here.

Keywords: image data; methodology; unmanned aerial; ability ... See more keywords

Weed pressure determines the chemical profile of wheat (Triticum aestivum L.) and its allelochemicals potential.

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Published in 2022 at "Pest management science"

DOI: 10.1002/ps.6779

Abstract: BACKGROUND Common purslane (Portulaca oleracea) and annual ryegrass (Lolium rigidum) are important infesting weeds of field crops. Herbicides are mostly used for weed suppression, while their environmental toxicity and resistance in weeds against them demand… read more here.

Keywords: weed pressure; wheat; pressure determines; determines chemical ... See more keywords
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A Novel Deep Learning-Based Method for Detection of Weeds in Vegetables.

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Published in 2022 at "Pest management science"

DOI: 10.1002/ps.6804

Abstract: BACKGROUND Precision weed control in vegetable fields can substantially reduce the required weed control inputs. Rapid and accurate weed detection in vegetable fields is a challenging task due to the presence of a wide variety… read more here.

Keywords: based method; deep learning; novel deep; detection ... See more keywords

Field evaluation of an agricultural weed detector using YOLO image recognition: background conditions affect detection performance

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Published in 2025 at "Pest Management Science"

DOI: 10.1002/ps.70009

Abstract: Image recognition tools for weed identification, such as smartphone applications, have the potential to enhance user knowledge, provide early invasive weed alerts, and enable site‐specific weed management. Although numerous studies have reported product development and… read more here.

Keywords: detection; detector using; image; weed detector ... See more keywords
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Validating a rapid algorithmic weed hazard ranking method.

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Published in 2025 at "Pest management science"

DOI: 10.1002/ps.70201

Abstract: Conventional weed risk assessments (WRAs) are time‐consuming and often constrained by species‐specific attribute data gaps. We present a validated, algorithmic alternative, the CPG model, that integrates climatic suitability ( C ), weed‐related publication frequency (P)… read more here.

Keywords: rapid algorithmic; algorithmic weed; weed hazard; validating rapid ... See more keywords

Weed encroachment affects soil organic carbon stock in bermudagrass pastures

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Published in 2025 at "Soil Science Society of America Journal"

DOI: 10.1002/saj2.70066

Abstract: Weed encroachment indicates pasture degradation and is a major challenge for adequate pasture management. Additionally, it might compromise the soil organic carbon (SOC) stock, affecting global climate change. Common bermudagrass [Cynodon dactylon (L.) Pers.] is… read more here.

Keywords: soil organic; bermudagrass pastures; weed encroachment; bermudagrass ... See more keywords

Infectivity of Deinbollia mosaic virus, a novel weed-infecting begomovirus in East Africa

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Published in 2017 at "Archives of Virology"

DOI: 10.1007/s00705-017-3495-x

Abstract: Weed-infecting begomoviruses play an important role in the epidemiology of crop diseases because they can potentially infect crops and contribute to the genetic diversity of crop-infecting begomoviruses. Despite the important epidemiological role that weed-infecting begomoviruses… read more here.

Keywords: dmv; deinbollia mosaic; mosaic virus; weed infecting ... See more keywords

Evaluating the efficacy of Hypogeococcus sp. as a biological control agent of the cactaceous weed Cereus jamacaru in South Africa

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Published in 2018 at "BioControl"

DOI: 10.1007/s10526-018-9887-3

Abstract: We evaluated the efficacy of Hypogeococcus sp. (Hemiptera: Pseudococcidae) as a biological control agent of the cactaceous weed Cereus jamacaru De Candolle (Queen of the Night cactus) in South Africa. This weed has been described… read more here.

Keywords: south africa; control; biological control; efficacy hypogeococcus ... See more keywords
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Weed mapping in cotton using ground-based sensors and GIS

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Published in 2018 at "Environmental Monitoring and Assessment"

DOI: 10.1007/s10661-018-6991-x

Abstract: Site-specific weed management presupposes the careful monitoring and mapping of weed infestation areas. Cut-edge sensor technologies coupled with geographical information systems (GIS) provide the means for reliable decision-making concerning weed management even in sub-field level.… read more here.

Keywords: using ground; weed mapping; cotton using; mapping cotton ... See more keywords
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Biology, ecology and management of Raphanus raphanistrum L.: a noxious agricultural and environmental weed

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Published in 2020 at "Environmental Science and Pollution Research"

DOI: 10.1007/s11356-020-08334-x

Abstract: Weeds are a major constraint to crop production and a barrier to human efforts to meet the ever-rising global demand for food, fibre and fuel. Managing weeds solely with herbicides is unsustainable due to the… read more here.

Keywords: management; biology; raphanus raphanistrum; ecology ... See more keywords