Results 271 to 280 of about 122,455 (308)
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Modelling the effects of herbicide dose and weed density on rice‐weed competition

Weed Research, 2014
SummaryThe effects of herbicide dose on rice‐weed competition were investigated to develop a combined model, which can be utilised to estimate an optimum herbicide dose for a given weed density in paddy rice cultivation. Field studies were conducted in Suwon for rice‐Echinochloa crus‐galli competition and Iksan for rice‐Eleocharis kuroguwai during 2007.
B C Moon   +5 more
openaire   +1 more source

Precision weed control robot for vegetable fields with high crop and weed densities

2019 Boston, Massachusetts July 7- July 10, 2019, 2019
Abstract. Weeds growing in close proximity to the seedline area are highly competitive for resources needed by crop plants and causes a reduction in crop productivity if left uncontrolled. A method to automate the weed removal process, which is currently a costly manual operation, is in high demand by vegetable growers.
Rekha Rajaa   +3 more
openaire   +1 more source

Weed Density Around MacMillian Building

2010
Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC.
Nugent, Michael R   +2 more
openaire   +1 more source

Level of threshold weed density does not affect the long-term frequency of weed control

Crop Protection, 1997
Abstract Weed control thresholds are often presented as a means to reduce unnecessary control measures, thereby increasing the effectiveness of weed management. While the threshold is a useful tool for cost-effective application of control on a single-year base, its role over the longer term is more complicated. It is shown that long-term application
Wallinga, J., van Oijen, M.
openaire   +1 more source

Analysis of sampling precision in low-density weed populations

Precision Agriculture, 2021
Site-specific weed management (SSWM) can provide significant herbicide savings but requires the reliable detection of weed populations. In this work, the effect of sample size on sampling precision was studied in four sub-field areas of winter cereals infested with Galium aparine.
Pavel Hamouz, Kateřina Hamouzová
openaire   +1 more source

Separating the effects of crop rotation from weed management on weed density and diversity

Weed Science, 1999
Crop rotation is thought to reduce weed density and maintain species diversity, thus preventing the domination of a few problem weeds. Because cropping sequence dictates other agricultural management practices, variations in weed populations between cropping systems may be the direct result of crop rotation, the result of different weed management ...
Colleen Doucet   +3 more
openaire   +1 more source

A Single-Time Survey Method to Predict the Daily Weed Density for Weed Control Decision-Making

Weed Science, 2011
Decision-making processes must indicate if, how, and when weed control should be practiced. So far, Decision Support Systems (DSSs) for weed control to prevent crop yield losses can guide decisions on “if” and “how.” Experience shows that farmers need a DSS that can also guide when to treat, but this can only be done if the actual weed density observed
Masin R   +4 more
openaire   +3 more sources

A novel weed and crop recognition technique for robotic weed control in a lettuce field with high weed densities

2019 Boston, Massachusetts July 7- July 10, 2019, 2019
Abstract. This paper presents a novel technique to crop signaling to classify weed and crop for robotic weed control for leafy vegetables. It is a big challenge to classify weeds from the crop plants in a field with high weed densities in the process of automatic weed control due to the high levels of visual occlusion that impair visibility.
R Raja   +2 more
openaire   +1 more source

A Real-Time Specific Weed Recognition System by Measuring Weeds Density through Mask Operation

2008
The identification and classification of weeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in shape, color and texture, weed control system is feasible. The goal of this paper is to build a real-time, machine vision weed control system that can detect weed locations.
Imran Ahmed   +3 more
openaire   +1 more source

Predicting the competitive effects of weed and crop density on weed biomass, weed seed production and crop yield in wheat

Weed Research, 1995
SummaryCompetition between winter‐sown wheat and Viola arvensis Murray or Papaver rhoeas L. was studied in two experiments in two successive years. The effects of varying crop and weed density were modelled in terms of weed biomass over time, weed seed production and crop yield. Biomass model parameters, representing maximum weed biomass and intra‐ and
B. J. WILSON   +4 more
openaire   +1 more source

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