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Competitive relationships between sugar beet and weeds in dependence on time of weed control
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1017/s0043174500073082openalex-snapshot
Growth and Interaction of Barnyardgrass (Echinochloa crus-galli) with Cotton (Gossypium hirsutum)
inferredcites →https://doi.org/10.1017/s0043174500081352openalex-snapshot
Influence of Common Ragweed (Ambrosia artemisiifolia) Time of Emergence and Density on White Bean (Phaseolus vulgaris)
inferredcites →https://doi.org/10.1093/aob/mch095openalex-snapshot
Modelling Seedling Growth Rates of 18 Temperate Arable Weed Species as a Function of the Environment and Plant Traits
inferredcites →https://doi.org/10.1111/j.1365-3180.1992.tb01906.xopenalex-snapshot
An eco‐physiological model for interspecific competition, applied to the influence of Chenopodium album L. on sugar beet. II. Model evaluation
inferredcites →https://doi.org/10.1111/j.1365-3180.1996.tb01655.xopenalex-snapshot
Modelling the effect of duration of weed competition, weed density and weed competitiveness on seeded, irrigated onion
inferredcites →https://doi.org/10.1614/wt-03-142r2openalex-snapshot
Effect of Separate and Combined Applications of Herbicides on Weed Control and Yield of Sugar Beet
inferredcites →https://doi.org/10.17221/4186-pseopenalex-snapshot
Seed dormancy and germination of Shaggy soldier (Galinsoga ciliata Blake.) and Common lambsquarter (Chenopodium album L.)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4685987openalex-extracted
Co-Application Effectiveness of Urea Fertilizer and Herbicides in Controlling Weeds and Increasing Quality-Based Productivity in Sugar Beet
inferred← citeshttps://doi.org/10.1007/s12355-023-01249-0openalex-snapshot
Effects of Weed-Control Treatments and Plant Density on Root Yield and Sugar Content of Sugar Beet
inferred← citeshttps://doi.org/10.1007/s12355-025-01624-zopenalex-snapshot
Determination of Critical Period of Weed Control in Tropical Sugar Beet: First Step to Formulate Sustainable Weed Management Strategy
inferred← citeshttps://doi.org/10.1007/s41348-026-01308-0openalex-snapshot
The importance of phenmedipham for European agriculture: a determination of essential uses for post-emergence weed control in sugar beet
inferred← citeshttps://doi.org/10.1007/s42106-026-00431-0openalex-snapshot
Yield, Quality Parameters and Nitrogen Uptake of Sugar Beet affected by Combined Mechanical-Chemical Weed Control Methods in Post-Emergence Strategy
inferred← citeshttps://doi.org/10.1016/j.cropd.2024.100075openalex-snapshot
Harnessing image processing for precision disease diagnosis in sugar beet agriculture
inferred← citeshttps://doi.org/10.1016/j.cropro.2020.105294openalex-snapshot
Sugar beet varieties tolerant to ALS-inhibiting herbicides: A novel tool in weed management
inferred← citeshttps://doi.org/10.1017/wet.2016.18openalex-snapshot
Duration of Soil Activity of Foramsulfuron Plus Thiencarbazone-methyl Applied to Weed Species Typical of Sugar Beet Cultivation
inferred← citeshttps://doi.org/10.1017/wet.2018.88openalex-snapshot
Potential yield loss in sugar beet due to weed interference in the United States and Canada
inferred← citeshttps://doi.org/10.1017/wet.2023.42openalex-snapshot
Ethofumesate applied at greater than labeled rates postemergence to sugarbeet
inferred← citeshttps://doi.org/10.1017/wet.2024.77openalex-snapshot
Baseline survey reveals glyphosate and dicamba resistance in broadleaf weeds before sugar beet trait introduction
inferred← citeshttps://doi.org/10.1038/s41598-025-86357-5openalex-snapshot
Hybrid deep learning model for density and growth rate estimation on weed image dataset
inferred← citeshttps://doi.org/10.1051/e3sconf/202453902026openalex-snapshot
Adaptive capacity of sugar beet under herbicide application
inferred← citeshttps://doi.org/10.1109/ifuzzy55320.2022.9985222openalex-snapshot
Sugar Beets and Weed Detection using Semantic Segmentation
inferred← citeshttps://doi.org/10.1111/1462-2920.70148openalex-snapshot
Herbicides Have Minimal and Variable Effects on the Structure and Function of Bacterial Communities in Agricultural Soils
inferred← citeshttps://doi.org/10.1163/9789004725232_148openalex-snapshot
Comparing a camera-AI-controlled inter- and intrarow weeding system with a camera-guided inter-row hoe
inferred← citeshttps://doi.org/10.1186/s13007-020-00570-zopenalex-snapshot
Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields
inferred← citeshttps://doi.org/10.1186/s42269-020-00476-9openalex-snapshot
Effect of different single herbicide doses on sugar beet yield, quality and associated weeds
inferred← citeshttps://doi.org/10.13080/z-a.2015.102.019openalex-snapshot
Control of annual broadleaf weeds by combinations of herbicides in sugar beet
inferred← citeshttps://doi.org/10.15832/ankutbd.446394openalex-snapshot
Assessment of Weed Competition Critical Period in Sugar Beet
inferred← citeshttps://doi.org/10.1590/s0100-83582010000100005openalex-snapshot
Interferência de caruru-de-mancha sobre características de crescimento e produção da beterraba
inferred← citeshttps://doi.org/10.17221/22/2010-pseopenalex-snapshot
Seasonal emergence of selected summer annual weed species in dependence on soil temperature
inferred← citeshttps://doi.org/10.17221/335/2025-pseopenalex-snapshot
A comparative applied analysis of six robotic-assisted weeding systems in sugar beets
inferred← citeshttps://doi.org/10.17221/57/2016-ppsopenalex-snapshot
Sugar beet yield loss predicted by relative weed cover, weed biomass and weed density
inferred← citeshttps://doi.org/10.21608/jpp.2011.85612openalex-snapshot
EFFECT OF SOWING METHODS AND WEED CONTROL TREATMENTS ON GROWTH OF SUGAR BEET AND WEED CHARACTERS UNDER NITROGEN FERTILIZER LEVELS
inferred← citeshttps://doi.org/10.21608/jpp.2017.41983openalex-snapshot
Response of Sugar Beet Yield and Water Use Efficiency to Deficit Irrigation and Weed Competition under Drip Irrigation System
inferred← citeshttps://doi.org/10.28941/pjwsr.v27i4.985openalex-snapshot
The EFFICACY OF DUAL GOLD (S-METOLACHLOR) ON WEED BIOMASS (g m-2) AND ON THE GROWTH AND YIELD COMPONENTS OF SUGAR BEET (BETA VULGARIS L.) CV. CALIFORNIA-KWS
inferred← citeshttps://doi.org/10.3390/agriculture11050407openalex-snapshot
Sugar Beet Root Yield and Quality with Leaf Seasonal Dynamics in Relation to Planting Densities and Nitrogen Fertilization
inferred← citeshttps://doi.org/10.3390/agriculture11050449openalex-snapshot
Influence of Mechanical and Intelligent Robotic Weed Control Methods on Energy Efficiency and Environment in Organic Sugar Beet Production
inferred← citeshttps://doi.org/10.3390/agronomy12071514openalex-snapshot
Weeding Effectiveness and Changes in Soil Physical Properties Using Inter-Row Hoeing and a Robot
inferred← citeshttps://doi.org/10.3390/agronomy13122951openalex-snapshot
Enhancing Sugar Beet (Beta vulgaris L.) Yield and Quality: Evaluating the Efficiency of Chemical and Mechanical Weed Control Strategies
inferred← citeshttps://doi.org/10.3390/agronomy16020167openalex-snapshot
Automated Weed Detection in Red Beet (Beta vulgaris L., Conditiva Group, cv. Kestrel F1) Using Deep Learning Models
inferred← citeshttps://doi.org/10.3390/v14112511openalex-snapshot
Weed Hosts Represent an Important Reservoir of Turnip Yellows Virus and a Possible Source of Virus Introduction into Oilseed Rape Crop
inferred← citeshttps://doi.org/10.36808/if/2025/v151i4/170415openalex-snapshot
Survey on Weed flora in selected hill cultivation crop fields of Nilgiris, Tamil Nadu, India
inferred← citeshttps://doi.org/10.37908/mkutbd.1101680openalex-snapshot
Determination of weed species, density, frequency and coverage areas in sugar beet (Beta vulgaris L.) fields located in Kahramanmaras and Adana provinces
inferred← citeshttps://doi.org/10.51694/advweedsci/2026;44:0015openalex-snapshot
Performance of integrated herbicide programs for weed control and yield in sugar beet (Beta vulgaris L.)
inferred← citeshttps://doi.org/10.53608/estudambilisim.1102769openalex-snapshot
Şeker Pancarı Üretiminde Kullanılan Yapay Zekâ Teknikleri
inferred← citeshttps://doi.org/10.53846/goediss-1775openalex-snapshot
Improvement of the competitiveness of the sugar beet crop in the Netherlands
inferred← citeshttps://doi.org/10.5772/61437openalex-snapshot
Evaluation of Pre- and Postemergence Herbicide Combinations for Broadleaved Weeds in Sugar Beet
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