Relevant bibliographies by topics / Weed

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Weed'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Weed"

1

Aadi, Omar N., and Ahmed A. Almarie. "Yield and Quality of Sesame Under Various Weed Removal Periods and Predicting the Optimum Weed Control Time." IOP Conference Series: Earth and Environmental Science 1371, no. 5 (2024): 052061. http://dx.doi.org/10.1088/1755-1315/1371/5/052061.

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Abstract The present work aimed to estimate the optimum period for weed control and predict yield losses coming from weed competition of three Sesame varieties under various weed removal periods. A field experiment was conducted during the season of 2023 by making the study field free of weeds by hand weeding starting from sesame plant emergence until periods of 1, 2, 3, 4, and 5 weeks. Then, weed plants are allowed to grow after these periods till the end of the growing season. Results of the study determined that the optimum period for wee control from the sesame plants’ emergence until the
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Place, G. T., S. C. Reberg-Horton, D. L. Jordan, T. G. Isleib, and G. G. Wilkerson. "Influence of Virginia Market Type Genotype on Peanut Response to Weed Interference." Peanut Science 39, no. 1 (2012): 22–29. http://dx.doi.org/10.3146/ps10-12.1.

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Abstract Differences in the ability of cultivars to compete with weeds are not well-defined for peanut. Research was conducted in 2007 and 2008 to compare the growth and competitiveness of the virginia market type cultivars NC 10C, NC-V 11, NC 12C, Phillips, VA 98R, and breeding lines N99027L, N01013T, and N02020J under weedy and weed-free conditions. Weed-free peanut was established by applying preemergence and postemergence herbicides throughout the growing season supplemented by weekly hand removal of weeds. Clethodim was applied to weedy peanut to eliminate annual grass interference but no
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R. T. Suryawanshi, M. G. Gavit, K. K. Barhate, and V. Y. Pawar. "Effect of Weed Control Measures on Weed and Yield of Pearl Millet (Pennisuteum glaucum L.)." Journal of Agriculture Research and Technology 49, no. 01 (2024): 182–85. https://doi.org/10.56228/jart.2024.49126.

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A field experiment was Carried out during rainy (Kharif) season 2018 to 2020 in medium black soil at the ICAR-AICRP on Pearl millet, College of Agriculture, Dhule, Maharashtra to identify the effective weed control measures to manage weeds and increase yield of pearl millet (Pennisutem glaucum L.) with pre emergence application (PE) of atrazine @ 0.4 kg a. i. ha-1 followed by one weeding at 3-4 week after sowing, four levels of post emergence application of tembotrione (42% SC @ 90,100,110,and 120 gm a.i. ha-1 respectively) at 3-4 leaf stage of weeds. Eight treatment combinations were laid out
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Dekker, Jack. "Weed diversity and weed management." Weed Science 45, no. 3 (1997): 357–63. http://dx.doi.org/10.1017/s0043174500092985.

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The story of agriculture is the story of weed interference. After millennia of weed control we still have weeds. This situation has led many growers to observe that “the weeds always win.” One of the most important reasons weeds are so successful is their biodiversity. Biodiversity is an inevitable consequence of the struggle an individual weed species undergoes in the presence of neighbors, and by occupying a physical space in an agroecosystem. Weeds have evolved in response to cropping system practices by adapting and occupying niches left available in agroecosystems. Forces created by our c
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Thesiya, N. M., H. P. Dholariya, J. V. Varsani, and H. M. Virdia. "Evaluation of Critical Period of Crop Weed Competition for Enhanced Weed Management and Yield of Summer Pearl Millet." International Journal of Plant & Soil Science 36, no. 10 (2024): 239–47. http://dx.doi.org/10.9734/ijpss/2024/v36i105071.

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The field experiment was conducted at Instructional farm of Department of Agronomy, Navsari Agriculture University, Navsari during summer season of 2021 to 2023 to study critical crop-weed competition in summer pearl millet. There were 10 treatments comprising of initial weed free periods of 10, 20, 30 and 40 days after sowing (DAS) and weedy 10, 20, 30 and 40 DAS along with weedy till harvest (un-weeded check) and weed free till harvest (weed free check), were replicated thrice in the randomized block design. Results revealed that maintaining a weed-free condition from 20 to 40 DAS significan
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Hasanuddin H, R. Husna, Zulwanis, et al. "Application of clomazone and oxyfluorfen herbicide mixture and its effect on weed growth." IOP Conference Series: Earth and Environmental Science 1476, no. 1 (2025): 012065. https://doi.org/10.1088/1755-1315/1476/1/012065.

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Abstract This research aims to determine the growth of weeds due to the application of a mixture of clomazone and oxyfluorfen herbicides. The experimental design was a Randomized Completely Block Design. The treatments were: without herbicide (control), 3.125L/ha of clomazone, 6.250L/ha of oxyfluorfen, 1.563L/ha of clomazone + 3.125L/ha of oxyfluorfen, 2.084 L/ha of clomazone + 4.167L/ha oxyfluorfen, 1.042L/ha of clomazone + 4.167L/ha of oxyfluorfen, 2.084L/ha of clomazone + 2.084L/ha of oxyfluorfen, 1.042L/ha of clomazone + 2.084L/ha of oxyfluorfen. The variables observed were: weed control p
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A.Y, Mamudu,, and Adeyemi, M. "CRITICAL PERIOD OF WEED INTERFERENCE ON SOYBEAN (GLYCINE MAX (L) MERRILL)." Reviews In Food and Agriculture 3, no. 2 (2022): 76–79. http://dx.doi.org/10.26480/rfna.02.2022.76.79.

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Weeds are one of the important factors affecting agriculture production, weeds and inadequate weed control and management pose a detrimental factor affecting crop production. The experiment was conducted at the Teaching and Research Farm of Federal University Technology, Minna, Nigeria, to determine the effectiveness of different weeding regime and critical period of weed interference in the growth and yield of soyabean. The treatments were laid out in a Randomized Complete Block Design (RCBD) and replicated three times. There are ten treatments consisting of weed infested and weed-free as fol
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Shahzad, Muhammad, Khawar Jabran, Mubshar Hussain, et al. "The impact of different weed management strategies on weed flora of wheat-based cropping systems." PLOS ONE 16, no. 2 (2021): e0247137. http://dx.doi.org/10.1371/journal.pone.0247137.

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The world population will rise in future, which would demand more wheat production to fulfil dietary needs of wheat-dependent population of the world. Food security in wheat-dependent regions will greatly rely on wheat productivity. Weed infestation is a major constraint reducing wheat productivity globally. Nonetheless, cropping systems and weed management strategies strongly influence weed infestation in modern agriculture. Herbicides are the key weed management tool in conventional agriculture. However, frequent use of herbicides have resulted in the evolution of herbicide-resistance weeds,
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LEMIEUX, C., A. K. WATSON, and J. M. DESCHÊNES. "WEED POPULATION DYNAMICS IN RECENTLY ESTABLISHED TIMOTHY STANDS: GROWTH AND PHYSIOGNOMY OF THE WEED COMPONENTS." Canadian Journal of Plant Science 67, no. 4 (1987): 1035–44. http://dx.doi.org/10.4141/cjps87-139.

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In two experiments conducted in the field between 1983 and 1985, timothy was established with or without barley, red clover, grassy weeds and broadleaf weeds. The plots were sampled during establishment and production years. At each sampling, the botanical composition was evaluated to characterize the weed populations. Throughout establishment, the weed populations were dominated by annual broadleaf and grassy weeds which, when growing separately, produced comparable amounts of biomass. However, when growing together, the grassy weeds were clearly dominated by the broadleaf weeds. During the s
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Mubeen, Khuram, Muhammad Shehzad, Naeem Sarwar, et al. "The impact of horse purslane (Trianthema portulacastrum L.) infestation on soybean [Glycine max (L.) Merrill] productivity in northern irrigated plains of Pakistan." PLOS ONE 16, no. 9 (2021): e0257083. http://dx.doi.org/10.1371/journal.pone.0257083.

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Horse purslane (Trianthema portulacstrum L.) is an important weed of soybean crop capable of causing significant yield reduction. Therefore, this study assessed the impact of horse purslane and other weeds’ infestation on the productivity of soybean. Ten treatments, i.e., weed-free throughout the growing season, horse purslane-free till 20, 40 and 60 days after emergence (DAE), all weeds-free till 20, 40 and 60 DAE, weedy-check (excluding horse purslane), weedy-check (horse purslane alone) and weedy-check (all weeds) were included in the study. Data relating to density and dry weight of record
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Dissertations / Theses on the topic "Weed"

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Perrins, James Michael. "Why is a weed a weed?" Thesis, University of York, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304356.

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Mühleisen, Martin Bernd. "Chemical weed control : options in fibre flax." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0031/MQ64411.pdf.

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Bitterlich, Iris. "Weed interference and weed control in cole crops and onion." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28920.

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Additive weed competition experiments were undertaken to study the effect of lamb's-quarters (Chenopodium album) interference on direct seeded broccoli. Lamb's-quarters (3, 8, 10, 12, and 15 plants m⁻²) began to affect broccoli growth 28 to 36 days after seeding. Decreases in crop growth increased with weed density as time after seeding increased. Yield data were fitted to a rectangular hyperbolic model which indicated that even one lamb's-quarters plant m⁻² could reduce total yield by 18 to 20 percent and marketable yield (head >10 cm across) by 22 to 37 percent. Lamb's-quarters reduced total
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Liphadzi, Konanani Benedictor. "Weed competitiveness and soil health response to weed management practices /." Search for this dissertation online, 2004. http://wwwlib.umi.com/cr/ksu/main.

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Gardiner, Ian O. "The effects of crop rotation and weed management on weed populations." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ39825.pdf.

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Ndou, Aifheli Meshack. "Interaction of weed emergence, weed density, and herbicide rate in soybean." Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1668.

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McGinley, Susan. "Fighting Weeds in Lemon Orchards: Weed-Sensing Sprayer Could be the Key." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2002. http://hdl.handle.net/10150/622246.

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Baraibar, Padró Bàrbara. "Seed predators and weed seed predation for weed control in winter cereals." Doctoral thesis, Universitat de Lleida, 2011. http://hdl.handle.net/10803/31991.

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La depredació de llavors pot causar pèrdues significatives de llavors de males herbes en sistemes agrícoles i, per tant, pot contribuir al control de les arvenses. Actualment, el coneixement existent sobre la identitat i la contribució relativa dels diferents depredadors de llavors, i dels factors que limiten aquesta depredació és escàs. Aquest estudi té com a objectiu contribuir a augmentar aquest coneixement pel cas específic del cereals d’hivern a les zones semi-àrides del nord-est espanyol. Tradicionalment, aquesta zona ha estat de secà i caracteritzada per un intens treball del sòl.
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Beamer, Kenneth Paul. "Weed Management and Soil Quality Outcomes of Non-Chemical Weed Control Tactics." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/28854.

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In the Northern Great Plains (NGP), weed management within organic systems remains a challenge. Experiments were conducted at two distinct sites in North Dakota to investigate effects of deep mulch no-till (NT) on soil quality indices, weed densities, and weed seedbank densities. We hypothesized that alfalfa mulch no-till and arbuscular mycorrhizal fungi (AMF) inoculant would be associated with reductions in weed densities and improvements to soil quality and vegetable yield. NT treatments were associated with reductions in weed densities and time required for weeding, with improvements in soi
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Dissanayake, N. P. "Studies on weed biology." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332797.

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Books on the topic "Weed"

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Johnston, William J. Lawn weed control for homeowners. Cooperative Extension, Washington State University, 1997.

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Johnston, William J. Lawn weed control for homeowners. Cooperative Extension, Washington State University, 1991.

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Schroeder, Jill. Weed management in conventional till grain sorghum. Agricultural Experiment Station, Cooperative Extension Service, College of Agriculture and Home Economics, New Mexico State University, 1993.

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Alex, J. F. Weed control in lawns and gardens. Ministry of Agriculture, Food and Rural Affairs, 1997.

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Caton, B. P. A practical field guide to weeds of rice in Asia. IRRI, 2010.

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Caton, B. P. A practical field guide to weeds of rice in Asia. International Rice Research Institute, 2004.

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Weed Historic Lumber Town Musum (Weed, Calif.). Weed. Arcadia, 2009.

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Weed Historic Lumber Town Musum (Weed, Calif.). Weed. Arcadia, 2009.

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Johnston, William J. Lawn weed control for Washington state homeowners. Cooperative Extension, Washington State University, 1999.

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Johnston, William J. Lawn weed control for Washington State homeowners. 2nd ed. Cooperative Extension, Washington State University, 2002.

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Book chapters on the topic "Weed"

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Schweizer, E. E., and M. J. May. "Weeds and weed control." In The Sugar Beet Crop. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-009-0373-9_12.

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Peters, Elroy J., and R. A. Peters. "Weeds and Weed Control." In Agronomy Monographs. American Society of Agronomy, 2015. http://dx.doi.org/10.2134/agronmonogr15.c25.

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Peters, Elroy J., and Dean L. Linscott. "Weeds and Weed Control." In Agronomy Monographs. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr29.c23.

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Monks, David W., Katie M. Jennings, Stephen L. Meyers, Tara P. Smith, and Nicholas E. Korres. "Sweetpotato: Important Weeds and Sustainable Weed Management." In Weed Control. CRC Press, 2018. http://dx.doi.org/10.1201/9781315155913-31.

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Aly, Radi, and Neeraj Kumar Dubey. "Weed Management for Parasitic Weeds." In Recent Advances in Weed Management. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1019-9_14.

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Rueda-Ayala, Victor, Jesper Rasmussen, and Roland Gerhards. "Mechanical Weed ControlMechanical weed control." In Precision Crop Protection - the Challenge and Use of Heterogeneity. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9277-9_17.

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Lutman, P. J. W. "Weed control." In The Potato Crop. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2340-2_9.

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Weed, Nathan C. "Weed, Nathan." In Encyclopedia of Personality and Individual Differences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_2071.

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Arteca, Richard N. "Weed Control." In Plant Growth Substances. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2451-6_13.

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Bayer, D. E. "Weed Management." In Rice. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-3754-4_8.

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Conference papers on the topic "Weed"

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Deng, Boyang, and Yuzhen Lu. "Weed image augmentation by IP-adapter-based stable diffusion for multiclass weed detection." In Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications III, edited by Keith F. Prussing, Kimberly E. Manser, Celso De Melo, Raghuveer M. Rao, and Christopher L. Howell. SPIE, 2025. https://doi.org/10.1117/12.3052285.

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Wang, Weijie, and Xiang Li. "Lightweight YOLOv8 Model for Weed Detection." In 2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS). IEEE, 2024. http://dx.doi.org/10.1109/ispds62779.2024.10667522.

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V, Sivakumar, Lokit Sushruth T, Jayaa Suthersen A R, and Gugan SK. "Weed Detection in Farmlands Using RCNN." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2025. https://doi.org/10.1109/idciot64235.2025.10915039.

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Haritha, Gadiyaram Veda Lakshmi Durga, V. Naga Prudhvi Raj, Gona Dayakar, Bandaru Sneha, Mohammad Nafisa, and Gadiyaram Balaji Prabhakara Sai Phaneedra. "An Autonomous Rover for Weed Detection." In 2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES). IEEE, 2025. https://doi.org/10.1109/icsses64899.2025.11009848.

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Nikolić, Nebojša, and Roberta Masin. "Training Weed Recognition Models for Integrated Weed Management in Precision Agriculture Through Advanced Remote Sensing Technologies." In 2024 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2024. https://doi.org/10.1109/metroagrifor63043.2024.10948819.

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Natarajan, Rajesh, Sujatha Krishna, Anitha Premkumar, N. Thangarasu, Badria Sulaiman Alfurhood, and Karthik Vasu. "Smart Agro-Weed Eradication with AI Driven Weed Detection and Removal Using Vision Transformers and Neuromorphic Computing." In 2025 3rd International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2025. https://doi.org/10.1109/icici65870.2025.11069560.

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Darbyshire, Madeleine, Adrian Salazar-Gomez, Callum Lennox, Junfeng Gao, Elizabeth Sklar, and Simon Parsons. "Localising Weeds Using a Prototype Weed Sprayer." In UKRAS22 Conference "Robotics for Unconstrained Environments". EPSRC UK-RAS Network, 2022. http://dx.doi.org/10.31256/ua7pr2w.

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Coble, Harold D. "Weed Thresholds." In Proceedings of the 28th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 1989. http://dx.doi.org/10.31274/icm-180809-290.

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Visser, R., and A. J. M. Timmermans. "Weed-It: a new selective weed control system." In Photonics East '96, edited by George E. Meyer and James A. DeShazer. SPIE, 1996. http://dx.doi.org/10.1117/12.262852.

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Li, Liujun, Donglin Zhou, Jiang Chang, and Dev Shrestha. "Large weed database and YOLO weed identification algorithm evaluation." In 2023 Omaha, Nebraska July 9-12, 2023. American Society of Agricultural and Biological Engineers, 2023. http://dx.doi.org/10.13031/aim.202300728.

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Reports on the topic "Weed"

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Hartzler, Robert G. Weed Management Studies. Iowa State University, Digital Repository, 2005. http://dx.doi.org/10.31274/farmprogressreports-180814-1119.

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Owen, Michael D., James F. Lux, and Damian D. Franzenburg. Weed Management in Soybeans. Iowa State University, Digital Repository, 2003. http://dx.doi.org/10.31274/farmprogressreports-180814-1041.

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Owen, Michael D., James F. Lux, and Damian D. Franzenburg. Weed Management in Soybean. Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-1150.

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Owen, Michael D., James F. Lux, Damian D. Franzenburg, and Dean M. Grossnickle. Weed Management in Corn. Iowa State University, Digital Repository, 2010. http://dx.doi.org/10.31274/farmprogressreports-180814-1211.

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Pringnitz, Brent A., and Robert G. Hartzler. Soybean Weed Management Studies. Iowa State University, Digital Repository, 2003. http://dx.doi.org/10.31274/farmprogressreports-180814-2153.

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Van Dee, Kevin. Soybean Weed Competition Study. Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-2318.

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Owen, Michael D., James F. Lux, and Damian D. Franzenburg. Weed Management in Corn. Iowa State University, Digital Repository, 2003. http://dx.doi.org/10.31274/farmprogressreports-180814-2390.

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Rueber, David, and Robert G. Hartzler. Time of Weed Control. Iowa State University, Digital Repository, 2008. http://dx.doi.org/10.31274/farmprogressreports-180814-2537.

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Pringnitz, Brent A., and Robert G. Hartzler. Soybean Weed Management Studies. Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-2562.

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Owen, Michael D., James F. Lux, and Damian D. Franzenburg. No-Tillage Weed Control. Iowa State University, Digital Repository, 2004. http://dx.doi.org/10.31274/farmprogressreports-180814-340.

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