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Thematische Bibliographien / Weed control

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Auswahl der wissenschaftlichen Literatur zum Thema „Weed control“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 30. Juli 2024

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Zeitschriftenartikel zum Thema "Weed control"

1

Njoroge, J. M. „Weeds and Weed Control in Coffee“. Experimental Agriculture 30, Nr. 4 (Oktober 1994): 421–29. http://dx.doi.org/10.1017/s0014479700024662.

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SUMMARYThe effects of weeds on coffee productivity and the methods used for their control are discussed. The more common weeds are listed, together with the control methods that can be used at various phases of coffee production.Malezas y control de las mismas en el café

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2

Lueschen, William E., und Thomas R. Hoverstad. „Imazethapyr for Weed Control in No-Till Soybean (Glycine max)“. Weed Technology 5, Nr. 4 (Dezember 1991): 845–51. http://dx.doi.org/10.1017/s0890037x00033960.

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Lack of consistent weed control has been a major limiting factor in the adoption of no-till soybean production. Field studies were conducted at Waseca, MN from 1987 through 1990 to evaluate the efficacy of imazethapyr applied either alone or in combination with other herbicides for weed control in no-till soybean. Fall applications of imazethapyr did not provide acceptable weed control. Imazethapyr applied 2 to 4 wk before planting provided a weed-free seedbed whereas burndown treatments applied 1 to 3 d before planting failed to do so. Early preplant imazethapyr applied during the second week of April did not control weeds as well as imazethapyr applied during the last week of April. Imazethapyr applied alone PRE failed to control weeds adequately. A split application of early preplant plus PRE imazethapyr resulted in excellent weed control, especially when metribuzin was added with each application. Imazethapyr is a promising herbicide for weed control in no-till soybean production.

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3

Hamada, Azhari Abdelazim. „Weeds and Weed Control Methods in Sudan“. Journal of Weed Science and Technology 45, Supplement (2000): 12–13. http://dx.doi.org/10.3719/weed.45.supplement_12.

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4

Shahbazi, Saeed, Marjan Diyanat, Sareh Mahdavi und Soheida Samadi. „Broadleaf weed control in rain-fed chickpea“. Weed Technology 33, Nr. 5 (13.08.2019): 727–32. http://dx.doi.org/10.1017/wet.2018.40.

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AbstractWeeds are among the main limitations on chickpea production in Iran. The efficacy of herbicide treatments including linuron PPI, imazethapyr PPI, PRE, and POST, pendimethalin PPI and POST, bentazon POST, pyridate POST, and oxadiazon POST along with one or two hand weedings were evaluated for weed control and yield response in rain-fed chickpea in Aleshtar, Lorestan, Iran in 2015 and 2016. Wild safflower, threehorn bedstraw, wild mustard, and hoary cress were the predominant weed species in both experimental years. Total weed dry biomass in weedy check plots averaged 187 and 238 g m−2 in 2015 and 2016, respectively, and weed density and biomass were reduced in all treatments compared to the weedy check in both years. Treatments composed of pyridate followed by one hand weeding or imazethapyr POST followed by two hand weedings resulted in the lowest weed biomass. The presence of weeds reduced yield by 74% and 66% in the weedy check plots compared to the weed-free control plots in 2015 and 2016, respectively. Application of oxadiazon, bentazon, and imazethapyr PPI, PRE, and POST resulted in lower chickpea yields. All herbicides tested injured chickpea slightly, with pyridate causing the least injury.

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Hoover, Emily E., Frank Forcella, Neil Hansen, Steve Poppe und Faye Propsom. „410 Biologically Based Weed Control in Strawberry“. HortScience 35, Nr. 3 (Juni 2000): 463E—464. http://dx.doi.org/10.21273/hortsci.35.3.463e.

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Lack of effective weed control is the major limiting factor in strawberry production. With few herbicides labeled for use in this perennial crop, weeds are controlled using manual labor, cultivation, and one or two herbicide applications. However, these practices do not provide long-term, effective weed control, and weeds continue to be the number one reason why strawberry fields are removed from production due to a reduction in yield. The objective of this study was to evaluate weed control during strawberry plant establishment using woven woolen mats and spring-sown canola. The effects of these mulches on weed control and strawberry plant production were studied independently and in tandem. Weed and daughter plant counts were compared among treatments to test for differences. Wool mulch, both single- and two-ply, was an effective barrier to weeds within the strawberry rows. Planting canola between rows or broadcasting in combination with the wool mulch decreased the number of weeds when compared to other treatments. The four treatments that included wool had the highest number of rooted daughter plants when compared to all the other treatments except the weed-free plot. The canola treatments without wool mulch did not produce as many rooted daughter plants and were not statistically different from the weedy-check.

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Ellis, P. R. „Weeds —influences of weed vegetation in ipm and non-chemical weed control“. Phytoparasitica 20, S1 (März 1992): S71—S75. http://dx.doi.org/10.1007/bf02980412.

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7

Šikuljak, Danijela, Ana Anđelković, Snežana Janković, Dragana Marisavljević, Sanja Đurović und Sava Vrbničanin. „Weeds in apple orchards and their control“. Biljni lekar 50, Nr. 6 (2022): 601–12. http://dx.doi.org/10.5937/biljlek2206601s.

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Floristic composition of the weed community in apple orchards differs, depending on the type of management - extensive or intensive. In extensive orchards, weedy-ruderal-grassland species are dominant. On the other hands, in intensive orchards the inter-row can be dominated by annual (therophyte) weed species, if mechanically cultivated, or grass species, if grasses are used as cover crops, while the rows are dominated by perennial weed species (geophytes, hemicryptophytes). The floristic composition of the weed communities is also dependent on the age of the orchard. In younger orchards row crop weeds are dominant, while as the orchard ages, the community gets a more weedy-ruderal-grassland character. The most common weed species in apple orchards in Serbia are: Amaranthus retroflexus, Ambrosia artemisiifolia, Chenopodium album, Convolvulus arvensis, Carduus acanthoides, Cynodon dactylon, Erigeron canadensis, Hordeum murinum, Lamium purpureum, L. amplexicaule, Medicago lupulina, Setaria spp., Stellaria media, Stenactis annua, Sonchus arvensis, Taraxacum officinale, Veronica spp. and Vicia spp. Weed control in apple orchards can be done using agrotechnical (soil cultivation), physical (mowing, mulching), thermic, chemical, biological measures, and by growing cover crops. In practice, weed control in apple orchards is dominantly done by herbicides, based on the following active substances: napropamide, glyphosate, 2.4D, flazasulfuron, flurochloridone, cycloxydim, fluazifop-p-butyl, clethodim, diquat, fluroxypyr-meptyl, and pyraflufen-ethyl. Given that nowadays the production of healthy and safe food is an imperative, also demanded by the international market, it is expected that bioproducts will be prioritized over classical synthetic herbicides. Moreover, non-chemical measures are also becoming more important as part of integral weed control measures of weeds in apple orchards.

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Sharofiddinova, M. J. „The Effects Of Weed Control Methods On Weeds In Cotton And Autumn Wheat Fields“. American Journal of Agriculture and Biomedical Engineering 02, Nr. 12 (27.12.2020): 9–13. http://dx.doi.org/10.37547/tajabe/volume02issue12-03.

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This article provides the results of harmonized weed control measures, which annual and biennial weeds in cotton and autumn wheat fields have been reduced by 80.2-82.7% in cotton fields and by 93.5% in autumn wheat fields.

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Harker, K. Neil, und John T. O'Donovan. „Recent Weed Control, Weed Management, and Integrated Weed Management“. Weed Technology 27, Nr. 1 (März 2013): 1–11. http://dx.doi.org/10.1614/wt-d-12-00109.1.

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Integrated weed management (IWM) can be defined as a holistic approach to weed management that integrates different methods of weed control to provide the crop with an advantage over weeds. It is practiced globally at varying levels of adoption from farm to farm. IWM has the potential to restrict weed populations to manageable levels, reduce the environmental impact of individual weed management practices, increase cropping system sustainability, and reduce selection pressure for weed resistance to herbicides. There is some debate as to whether simple herbicidal weed control programs have now shifted to more diverse IWM cropping systems. Given the rapid evolution and spread of herbicide-resistant weeds and their negative consequences, one might predict that IWM research would currently be a prominent activity among weed scientists. Here we examine the level of research activity dedicated to weed control techniques and the assemblage of IWM techniques in cropping systems as evidenced by scientific paper publications from 1995 to June 1, 2012. Authors from the United States have published more weed and IWM-related articles than authors from any other country. When IWM articles were weighted as a proportion of country population, arable land, or crop production, authors from Switzerland, the Netherlands, New Zealand, Australia, and Canada were most prominent. Considerable evidence exists that research on nonherbicidal weed management strategies as well as strategies that integrate other weed management systems with herbicide use has increased. However, articles published on chemical control still eclipse any other weed management method. The latter emphasis continues to retard the development of weed science as a balanced discipline.

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Kashe, Keotshephile, Dikungwa Ketumile, Paul Kristiansen, Cornelius Mahilo und Thebeetsile Moroke. „Evaluation of pre-emergence herbicides for weed control in maize“. Welwitschia International Journal of Agricultural Sciences 2 (05.12.2020): 5–18. http://dx.doi.org/10.32642/wijas.v2i.1437.

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Weed management is an ongoing constraint in southern Africa for conventional farming systems and in emerging conservation agriculture systems, which are more heavily reliant on herbicides for primary weed control. The challenge of rising labour costs and decreasing availability creates a greater need to develop effective and efficient weed management methods in key crops such as maize. Field experiments were conducted at Sebele Agricultural Research Station, Botswana in the 2011/12 and 2012/13 cropping seasons to evaluate pre-emergence application of atrazine at 1,000 and 2,000 g a.i. ha-1 and S-metolachlor at 1,440 and 2,880 g a.i. ha-1, and a tank mixture of atrazine at 1,000 and S-metolachlor at 1,440 g a.i. ha-1. Atrazine at either rate alone, effectively controlled annual broadleaf weeds: Acanthospermum hispidum, Datura ferox and Sesamum alatum, but failed to control annual grass weeds (Tragus berteronianus and Urochloa spp.). Conversely, sole application of S-metolachlor at either rate provided complete control of annual grass weeds, but poorly controlled annual broadleaf weeds except small-seeded Amaranthus hybridus and Amaranthus thunbergii. A tank mixture of atrazine and S-metolachlor provided broad-spectrum weed control and successfully controlled both annual broadleaf and grass weeds. Atrazine alone and in tank mixture with S-metolachlor significantly reduced annual broadleaf weed density and biomass and increased maize grain yield by more than 80% when compared with the weedy treatment. High weed density and biomass of annual broadleaf weeds in S-metolachlor treatments significantly reduced maize grain yield to levels similar to the weedy treatment. A pre-mixture of atrazine and S-metolachlor is recommended for broad-spectrum weed control. Using a combination of herbicides with different modes of action may reduce selection pressure for herbicide resistance.

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Dissertationen zum Thema "Weed control"

1

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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Umeda, Kai. „Weed Control in Melons“. College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2000. http://hdl.handle.net/10150/146709.

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3

Umeda, K., und G. Gal. „Noncrop Herbicide Weed Control“. College of Agriculture, University of Arizona (Tucson, AZ), 1999. http://hdl.handle.net/10150/221655.

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Paraquat and diquat were effective against weeds immediately at 3 DAT. Glyphosate, sulfosate, and glufosinate exhibited activity against the weeds at 7 to 10 DAT. Paraquat provided the most complete weed control of most weeds at 10 to 16 DAT. Most of the diquat treated weed recovered and exhibited regrowth after 22 DAT. Glufosinate did not provide adequate control of most weeds at 22 DAT similar to diquat. Glyphosate and sulfosate were nearly equivalent at 0.50 and 2.0 lb AI/A against most weeds at most of the rating dates.

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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 yield by reducing average head weight and not by lowering the number of heads per plot. On the other hand, the weed reduced marketable yield by reducing both the average head weight and the number of heads per plot. The feasibility of using liquid ammonium nitrate as a post-emergent weed control spray in cole crops was studied. The relative susceptibility of different weed species grown by themselves (1989) and with two crops (broccoli and onion; 1987) to ammonium nitrate (800 L ha⁻¹; 0, 7.5, 10, 15, 20 percent N) burning was investigated. The fertilizer controlled shepherd's-purse (Capsella bursa-pastoris), chickweed (Stellaria media), cudweed {Gnaphalium uliginosum), and redroot pigweed (Amaranthus retroflexus), but not lamb's-quarters, purslane (Portulaca oleracea), and annual bluegrass (Poa annua). Corn spurry (Spergula arvensis) varied in its tolerance. Although weed populations were reduced by 70 percent in 1987, the remaining weeds competed so strongly with the onion and broccoli that the crop plants did not reach a harvestable size. The large initial weed population (799 plants m⁻²), the large number of tolerant weeds present, and the possible recovery of some of the susceptible weeds may all have been factors responsible for crop failure. The effect of different shepherd's-purse densities (52 to 988 plants m⁻²) on the degree of ammonium nitrate (800 L ha⁻¹; 20 percent N) control in broccoli was also studied. The initial weed control achieved was reduced over time either because some weeds counted as dead had recovered or new plants were being recruited to the population through seed germination. Although the maximum density of shepherd's-purse plants that survived was 219 plants m⁻², these plants did not significantly reduce crop yield possibly because shepherd's-purse is not a very competitive species and all the surviving weeds had been damaged to varying degrees, further reducing their competitive ability. The relative susceptibility of various crop cultivars to ammonium nitrate (800 L ha⁻¹; 0, 10, 15, 20 percent N) burning was also studied. In 1987, the growth rates of 'Lunet' (Brussels sprouts), ‘SGI' (broccoli), 'Elgon' (cauliflower), and 'Matra' (cauliflower) initially decreased but the plants recovered; they were largely unaffected in 1988. The growth rates of 'White Lisbon' (onion), 'Emperor' (broccoli), and 'Early Marvel' (cabbage) were largely unaffected in either year. Although some cultivars had shown initial signs of lower growth rates, there was no decrease in crop yield. Leaf surfaces of tolerant and susceptible crop and weed species were examined by scanning electron microscopy to determine the basis of ammonium nitrate selectivity. Leaf surfaces of tolerant species were completely covered with a crystalline wax layer, while susceptible species had little or no epicuticular wax. Cellulose acetate was used to remove the epicuticular wax from cabbage leaves. The stripped leaves showed far greater ammonium nitrate retention and salt injury than unstripped leaves, demonstrating the importance of the epicuticular wax in providing protection against ammonium nitrate injury. Trichomes, observed on the leaf surfaces of some susceptible species, may further increase ammonium nitrate retention and, therefore, salt injury.
Land and Food Systems, Faculty of
Graduate

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5

Umeda, Kai. „Weed Control in Cole Crops“. College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2000. http://hdl.handle.net/10150/146700.

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Tickes, Barry R., und E. Stanley Heathman. „Wheat Weed Control, Yuma County“. College of Agriculture, University of Arizona (Tucson, AZ), 1985. http://hdl.handle.net/10150/200519.

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7

Umeda, K., N. Lund, D. MacNeil und D. Robertz. „Grass Weed Control in Melons“. College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2001. http://hdl.handle.net/10150/214922.

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Efficacy of the grass herbicides showed that Select (clethodim) and BAS-620 (BASF Corporation) at rates as low as 0.1 lb AI/A were nearly comparable in controlling 2 leaf stage of growth watergrass or when applied a week later on 3-4 inch tall watergrass. Fusilade DX (fluazifop-p-butyl) was intermediate in controlling grasses and 0.188 lb AI/A was necessary to give equivalent control of larger grasses as compared to the 0.1 lb AI/A rate that gave acceptable control of smaller grasses. Poast (sethoxydim) at 0.188 lb AI/A gave acceptable control of small grasses but lower rates or later timed applications were not as efficacious.

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Umeda, K., und D. MacNeil. „Garbanzo Bean Weed Control Study“. College of Agriculture, University of Arizona (Tucson, AZ), 1999. http://hdl.handle.net/10150/219974.

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Pendimethalin (Prowl7) and oxyfluorfen (Goal7) applied preemergence (PREE) caused minimal injury and gave very good weed control (>90%). Goal and sulfentrazone alone applied postemergence (POST) gave very good weed control at 6 WAT. The combination of Prowl followed by Goal or sulfentrazone gave complete control of all weeds. Goal and sulfentrazone applied POST following PREE treatments gave nearly complete weed control with good crop safety. Clomazone (Command7) caused significant crop injury and stand reduction when applied PREE. Metribuzin (Sencor7) applied POST completely reduced the crop stand and gave complete control of all weeds. Metolachlor (Dual7), dimethenamid (Frontier7), Sencor, flumetsulam, and imazamox generally did not provide acceptable control of Chenopodium desiccatum (narrowleaf lambsquarters) and Sonchus oleraceus (sowthistle). Bentazon (Basagran7), acifluorfen (Blazer7), and fomesafen (Reflex7) were not effective against narrowleaf lambsquarters but gave adequate control of the other weeds.

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Umeda, K. „Herbicide Weed Control in Cantaloupes“. College of Agriculture, University of Arizona (Tucson, AZ), 1995. http://hdl.handle.net/10150/221497.

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Preemergence herbicide treatments metolachlor (Dual®) and pendimethalin (Prowl®) gave better than acceptable weed control ( >85 %) of prostrate and tumble pigweeds, puncturevine, common purslane, and groundcherry in cantaloupes. Preplant incorporated treatments provided less than adequate control of pigweeds and groundcherry. Bentazon (Basagran®) applied postemergence gave good control of pigweeds but groundcherry control was marginal. Napropamide (Devrinol®), trifluralin (Treflan®), and DCPA (Dacthal (D) caused cantaloupe stand reduction and injury. Bensulide (Prefar®) and Basagran® were safe when applied on cantaloupes.

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Umeda, Kai. „Sweet Corn Herbicide Weed Control“. College of Agriculture, University of Arizona (Tucson, AZ), 1997. http://hdl.handle.net/10150/221636.

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The sequence of preemergence (PREE) herbicide metolachlor (Dual II®) followed by postemergence (POST) herbicide mixture of primisulfuron plus prosulfuron (Exceed®) provided season-long near complete weed control in sweet corn. Preplant incorporated (PPI) treatments of dimethenamid (Frontier®), EPTC plus safener (Eradicane®), and herbicide mixture FOE 5043 plus metribuzin (Axiom®, Bayer) provided effective weed control for most of the season. Similar effective weed control was observed for PREE treatments of pendimethalin (Prowl®), Frontier, and Axiom.

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Bücher zum Thema "Weed control"

1

Johnston, William J. Lawn weed control for homeowners. [Pullman, Wash.]: Cooperative Extension, Washington State University, 1997.

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

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3

Lavabre, Émile M. Weed control. London: Macmillan, 1991.

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4

King, Robert. Farmers weed control handbook. St. Louis, Mo: Doane Pub., 1985.

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5

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

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6

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

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7

M, Menz K., und Tisdell C. A, Hrsg. Weed control economics. London: Academic Press, 1987.

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8

Seagrave, Chris. Aquatic weed control. Farnham: ill., 1988.

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9

Johnston, William J. Lawn weed control for Washington state homeowners. [Pullman, Wash.]: Cooperative Extension, Washington State University, 1999.

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Johnston, William J. Lawn weed control for Washington State homeowners. 2. Aufl. [Pullman, Wash.]: Cooperative Extension, Washington State University, 2002.

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Buchteile zum Thema "Weed control"

1

Monks, David W., Katie M. Jennings, Stephen L. Meyers, Tara P. Smith und Nicholas E. Korres. „Sweetpotato: Important Weeds and Sustainable Weed Management“. In Weed Control, 580–96. Boca Raton, FL:CRC Press,[2018]"A Science publishers book."|Include bibliographical references and index.: CRC Press, 2018. http://dx.doi.org/10.1201/9781315155913-31.

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2

Schweizer, E. E., und M. J. May. „Weeds and weed control“. In The Sugar Beet Crop, 485–519. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-009-0373-9_12.

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3

Peters, Elroy J., und R. A. Peters. „Weeds and Weed Control“. In Agronomy Monographs, 555–73. Madison, WI, USA: American Society of Agronomy, 2015. http://dx.doi.org/10.2134/agronmonogr15.c25.

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4

Peters, Elroy J., und Dean L. Linscott. „Weeds and Weed Control“. In Agronomy Monographs, 705–35. Madison, WI, USA: 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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Lutman, P. J. W. „Weed control“. In The Potato Crop, 373–402. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2340-2_9.

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Arteca, Richard N. „Weed Control“. In Plant Growth Substances, 273–311. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2451-6_13.

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7

Lange, A. H., B. B. Fischer und F. M. Ashton. „Weed control“. In The Tomato Crop, 485–510. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-3137-4_12.

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8

Sharma, Neetu, B. C. Sharma, Anil Kumar und Rakesh Kumar. „Weed Control“. In Agronomy Algorithm, 73–106. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003347286-7.

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9

Barker, Allen V. „Weed Control“. In Science and Technology of Organic Farming, 149–58. 2. Aufl. Second edition. | Boca Raton, FL : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003093725-10-10.

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10

Lee, W. O. „Weed Control“. In Agronomy Monographs, 295–308. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr25.c10.

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Konferenzberichte zum Thema "Weed control"

1

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

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2

Andreasen, C., I. Rakhmatulin, M. Saberi und Z. Zang. „Weed control with laser beams: An eco-friendly alternative to herbicides and mechanical weed control“. In 14TH INTERNATIONAL CONFERENCE ON MATERIALS PROCESSING AND CHARACTERIZATION 2023. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0182677.

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3

Wiles, Lori J., Gail G. Wilkerson und Harvey J. Gold. „Simulating weed scouting and weed control decision making to evaluate scouting plans“. In the 24th conference. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/167293.167883.

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4

Teodor, Andreea. „WEED CONTROL STRATEGIES IN CARROT CROPS“. In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/32/s13.090.

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5

Stahlke, Amanda. „Genomic approaches in weed biological control“. In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.111799.

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6

Wilson, R. G. „Influence of preplant nitrogen fertilizer on sugarbeet, weeds and postemergence weed control“. In 33rd Biennial Meeting of American Society of Sugarbeet Technologist. ASSBT, 2005. http://dx.doi.org/10.5274/assbt.2005.25.

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7

Kabashi, Besarta, Rozafa Fetahaj und Arben Mehmeti. „IMPACT OF HERBICIDES AND MECHANICAL WEED CONTROL ON THE WEED FLORA IN VINEYARD“. In 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020. STEF92 Technology, 2020. http://dx.doi.org/10.5593/sgem2020/5.1/s20.056.

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8

Rajaa, Rekha, David C. Slaughtera, Steve Fennimoreb und Mark Siemensc. „Precision weed control robot for vegetable fields with high crop and weed densities“. In 2019 Boston, Massachusetts July 7- July 10, 2019. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2019. http://dx.doi.org/10.13031/aim.201900030.

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9

Li, Shengbo, und Dejin Zhao. „A study based on weed image recognition of a corn-weed control robot“. In 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), herausgegeben von Kannimuthu Subramaniam und Pavel Loskot. SPIE, 2023. http://dx.doi.org/10.1117/12.3005812.

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Raja, R., David C. Slaughter und Steve Fennimore. „A novel weed and crop recognition technique for robotic weed control in a lettuce field with high weed densities“. In 2019 Boston, Massachusetts July 7- July 10, 2019. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2019. http://dx.doi.org/10.13031/aim.201900029.

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Berichte der Organisationen zum Thema "Weed control"

1

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

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2

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

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3

Taber, Henry G., und Bernard J. Havlovic. Pumpkin and Winter Squash Weed Control. Ames: Iowa State University, Digital Repository, 2010. http://dx.doi.org/10.31274/farmprogressreports-180814-770.

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4

Owen, Micheal, Damian Franzenburg, James Lee, Iththiphonh Macvilay und Brady North. Preemergence and Postemergence Weed Control in Soybean. Ames: Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/farmprogressreports-180814-1416.

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5

Christians, Nick E. Broadleaf Weed Control with Dismiss (Sulfentrazone), 2007. Ames: Iowa State University, Digital Repository, 2008. http://dx.doi.org/10.31274/farmprogressreports-180814-613.

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6

Quimby, Jr., Paul C., Reuven (Robert) G. Kenneth, C. Douglas Boyette, Yeshayahu Kleifeld und Reuven Reuveni. Development of Plant Pathogens for Weed Control. United States Department of Agriculture, Oktober 1986. http://dx.doi.org/10.32747/1986.7566862.bard.

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7

Schmid, Samuel, Gray Turnage und Gary Ervin. Chemical and Biological Control of Alligator Weed. Mississippi State University, Dezember 2023. http://dx.doi.org/10.54718/glzz3432.

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8

Wasko, Lisa Marie, Gail R. Nonnecke und Lee Burras. Alternative Weed Management Strategies:Effects on Weed Control and Grapevine Yield in an Established Vineyard. Ames: Iowa State University, Digital Repository, 2010. http://dx.doi.org/10.31274/farmprogressreports-180814-1075.

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9

Wasko, Lisa Marie, und Gail R. Nonnecke. Alternative Weed Management Strategies Influence Weed Control and Grapevine Yield in an Established Vineyard. Ames: Iowa State University, Digital Repository, 2009. http://dx.doi.org/10.31274/farmprogressreports-180814-2219.

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10

Owen, Michael D., Damian D. Franzenburg, James M. Lee, James F. Lux und Jacob S. Eeling. Two-Pass Programs for Weed Control in Soybean. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/farmprogressreports-180814-484.

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