Relevant bibliographies by topics / Site specific weed management

Academic literature on the topic 'Site specific weed management'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Site specific weed management"

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Hamouz, P., K. Hamouzová, J. Holec, and L. Tyšer. "Impact of site-specific weed management in winter crops on weed populations." Plant, Soil and Environment 60, No. 11 (November 4, 2014): 518–24. http://dx.doi.org/10.17221/636/2014-pse.

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This work is focused on evaluating the effects of site-specific weed management (SSWM) on weed populations over a 4-year period. SSWM was used on a 3.07 ha experimental field during 2011–2014 in a rotation of winter wheat and winter oilseed rape. The area was split into application cells of 6 × 10 m and weed abundance was evaluated manually in each cell. Four different herbicide treatments were tested. Standard whole-field herbicide application (blanket spraying) was treatment 1. Treatments 2, 3 and 4 comprised SSWM using different thresholds for post-emergent herbicide applications. SSWM resulted in herbicide savings of 6.3–100% for Galium aparine, 0–84.4% for other dicotyledonous weeds, and 31.3–90.6% for annual monocotyledonous weeds. SSWM led to significantly increased density of G. aparine and Tripleurospermum inodorum in the final experimental year when compared to the blanket treatment. Negative correlation coefficients between 2011 and 2014 plant densities found in SSWM treatments (−0.237 to −0.401) indicate that Apera spica-venti does not establish a long-term soil seed bank.
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Hamouz, P., K. Hamouzová, L. Tyšer, and J. Holec. "Effect of site-specific weed management in winter crops on yield and weed populations." Plant, Soil and Environment 60, No. 1 (January 22, 2014): 27–35. http://dx.doi.org/10.17221/574/2013-pse.

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Site-specific weed management (SSWM) methods allow spatially variable treatment of weed populations according to actual weed abundance, thus offering the opportunity for herbicide savings. However, SSWM&rsquo;s effect on weed population dynamics is not sufficiently understood. In this study, SSWM was conducted based on various application thresholds to analyse the effects on crop yield and weed infestation in the succeeding crop. SSWM was used on a 3.07 ha experimental field in winter wheat (2011) and winter oilseed rape (2012). The whole area was split into application cells of 6 &times; 10 m and abundance of all weed species was evaluated manually in each cell. Four different herbicide treatments were tested. Standard whole-field herbicide application (blanket spraying) was treatment 1.<br /> Treatments 2, 3 and 4 comprised SSWM using different thresholds for post-emergent herbicide application. SSWM resulted in savings of post-emergent herbicides ranging from 71.9% to 100%, depending on the application threshold. Differences in winter rape yield among treatments were generally small and statistically insignificant<br /> (P = 0.989). Although some minor changes in weed abundances were observable, the experiment showed that none of the site-specific herbicide treatments caused a significant (&alpha; = 0.05) increase of weed species abundance compared to the standard treatment.
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Swinton, Scott M. "Economics of site-specific weed management." Weed Science 53, no. 2 (March 2005): 259–63. http://dx.doi.org/10.1614/ws-04-035r2.

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Hamouz, P., K. Hamouzová, J. Holec, and L. Tyšer. "Impact of site-specific weed management on herbicide savings and winter wheat yield  ." Plant, Soil and Environment 59, No. 3 (January 19, 2013): 101–7. http://dx.doi.org/10.17221/599/2012-pse.

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An aggregated distribution pattern of weed populations provides opportunity to reduce the herbicide application if site-specific weed management is adopted. This work is focused on the practical testing of site-specific weed management in a winter wheat and the optimisation of the control thresholds. Patch spraying was applied to an experimental field in Central Bohemia. Total numbers of 512 application cells were arranged into 16 blocks, which allowed the randomisation of four treatments in four replications. Treatment 1 represented blanket spraying and the other treatments differed by the herbicide application thresholds. The weed infestation was estimated immediately before the post-emergence herbicide application. Treatment maps for every weed group were created based on the weed abundance data and relevant treatment thresholds. The herbicides were applied using a sprayer equipped with boom section control. The herbicide savings were calculated for every treatment and the differences in the grain yield between the treatments were tested using the analysis of variance. The site-specific applications provided herbicide savings ranging from 15.6% to 100% according to the herbicide and application threshold used. The differences in yield between the treatments were not statistically significant (P = 0.81). Thus, the yield was not lowered by site-specific weed management.
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Shaw, David R. "Remote sensing and site-specific weed management." Frontiers in Ecology and the Environment 3, no. 10 (December 2005): 526–32. http://dx.doi.org/10.1890/1540-9295(2005)003[0526:rsaswm]2.0.co;2.

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Ford, A. J., P. A. Dotray, J. W. Keeling, J. B. Wilkerson, J. W. Wilcut, and L. V. Gilbert. "Site-Specific Weed Management in Cotton Using WebHADSS™." Weed Technology 25, no. 1 (March 2011): 107–12. http://dx.doi.org/10.1614/wt-d-10-00060.1.

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Field trials were established in 2005 and continued in 2006 to evaluate a conventional broadcast herbicide sprayer compared to a variable spray (sensor-activated) weed-sensing sprayer (WSS). The computer-based Herbicide Application Decision Support System (WebHADSS™) was used to determine a portion of the herbicides applied (based on herbicide efficacy and economics). Weed control, herbicide usage, crop yield, and net returns were compared across treatments. The broadcast applications were usually the most effective at controlling weeds. A PPI herbicide did not always improve weed control compared to treatments in which no PPI herbicide was applied. Variable treatments used less herbicide than the broadcast system in both years. Cotton lint yields in broadcast applications were similar to the weed-free check in both years of the study. Variable treatments often provided equivalent net returns (gross yield revenue less weed control cost) to the broadcast treatments. Although herbicide savings were observed in the variable treatments when compared to a broadcast system, a reduction in weed control was observed, indicating the need for future improvements of this system. A site-specific weed management program used in conjunction with WebHADSS™ may have potential in cotton production systems in the Texas Southern High Plains where weed densities are low.
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LÓPEZ-GRANADOS, F. "Weed detection for site-specific weed management: mapping and real-time approaches." Weed Research 51, no. 1 (October 12, 2010): 1–11. http://dx.doi.org/10.1111/j.1365-3180.2010.00829.x.

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Shaw, David R. "Introduction to the symposium on site-specific weed management." Weed Science 53, no. 2 (March 2005): 220. http://dx.doi.org/10.1614/0043-1745(2005)053[0220:sittso]2.0.co;2.

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Wiles, Lori J. "Sampling to make maps for site-specific weed management." Weed Science 53, no. 2 (March 2005): 228–35. http://dx.doi.org/10.1614/ws-04-057r1.

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TREDAWAY-DUCAR, JOYCE, GAYLON D. MORGAN, JOHN B. WILKERSON, WILLIAM E. HART, ROBERT M. HAYES, and THOMAS C. MUELLER. "Site-Specific Weed Management in Corn (Zea mays)1." Weed Technology 17, no. 4 (October 2003): 711–17. http://dx.doi.org/10.1614/wt02-119.

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Dissertations / Theses on the topic "Site specific weed management"

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Goudy, Heather Jayne. "Evaluation of site-specific weed management and implications for spatial biology of weeds." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0022/MQ51068.pdf.

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Ritter, Carina. "Evaluation of weed populations under the influence of site-specific weed control to derive decision rules for a sustainable weed management." [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-2687.

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Gutjahr, Christoph [Verfasser], and Roland [Akademischer Betreuer] Gerhards. "Investigations on site-specific weed management for a decision support system for patch spraying / Christoph Gutjahr. Betreuer: Roland Gerhards." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2013. http://d-nb.info/1033108227/34.

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Eddy, Peter R., and University of Lethbridge Faculty of Arts and Science. "Development of remote sensing techniques for the implementation of site-specific herbicide management." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2007, 2007. http://hdl.handle.net/10133/631.

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Selective application of herbicide in agricultural cropping systems provides both economic and environmental benefits. Implementation of this technology requires knowledge of the location and density of weed species within a crop. In this study, two image classification techniques (Artificial Neural Networks (ANNs) and Maximum Likelihood Classification (MLC)) are compared for accuracy in weed/crop species discrimination. In the summer of 2005, high spatial resolution (1.25mm) ground-based hyperspectral image data were acquired over field plots of three crop species seeded with two weed species. Image data were segmented using a threshold technique to identify vegetation for classification. The ANNs consistently outperformed MLC in single-date and multitemporal classification accuracy. With advancements in imaging technology and computer processing speed, these network models would constitute an option for real-time detection and mapping of weeds for the implementation of site-specific herbicide management.
xii, 106 leaves : ill. (col. ill.) ; 29 cm
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Stabile, Marcelo de Castro Chaves. "Site-specific strategies for cotton management." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2288.

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The use of site-specific data can enhance management decisions in the field. Three different uses of site-specific data were evaluated and their outcomes are promising. Historical yield data from yield monitors and height data from the HMAP (plant height mapping) system were used to select representative areas within the field, and areas of average conditions were used as sampling sites for COTMAN, a cotton management expert system. This proved to be effective, with predicted cutout dates and date of peak nodal development similar to the standard COTMAN approach. The HMAP system was combined with historical height data for variable rate application of mepiquat chloride, based on the plant growth rate. The system performance was evaluated, but weather conditions in 2004 did not allow a true evaluation of varying mepiquat chloride. A series of multi-spectral images were normalized utilizing the soil line transformation (SLT) technique and normalized difference vegetation index (NDVI) was calculated from the transformed images, from the raw image and for the true reflectance images. The SLT technique was effective in tracking the change in true reflectance NDVI in some images, but not all. Changes to the soil line extraction program are suggested so that it more effectively determines soil lines.
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Surjandari, Isti. "Three essays on site specific management /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486402544591182.

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Wood, Gavin Adam. "Remote sensing methods for the site-specific management of cereal." Thesis, Cranfield University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269522.

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Colaço, André Freitas. "Mobile terrestrial laser scanner for site-specific management in orange crop." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-23012017-151317/.

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Sensors based on LiDAR (Light Detection and Ranging) technology have the potential to provide accurate 3D models of the trees retrieving information such as canopy volume and height. This information can be used for diagnostics and prescriptions of fertilizers and plant protection products on a site-specific basis. This research aimed to investigate the use of LiDAR sensors in orange crops. Orange is one of the most important tree crop in Brazil. So far, research have developed and tested LiDAR based systems for several tree crops. However, usually individual trees or small field plots have been used. Therefore, several aspects related to data acquisition and processing must still be developed for large-scale application. The first study reported in this document (Chapter 3) aimed to develop and test a mobile terrestrial laser scanner (MTLS) and new data processing methods in order to obtain 3D models of large commercial orange groves and spatial information about canopy geometry. A 2D laser sensor and a RTK-GNSS receiver (Real Time Kinematics - Global Navigation Satellite System) were mounted on a vehicle. The data processing was based on generating a georeferenced point cloud, followed by the filtering, classification and surface reconstruction steps. A 25 ha commercial orange grove was used for field validation. The developed data acquisition and processing system was able to produce a reliable point cloud of the grove, providing high resolution canopy volume and height information. The choice of the type of point cloud classification (by individual trees or by transversal sections of the row) and the surface reconstruction algorithm is discussed in this study. The second study (Chapter 4) aimed to characterize the spatial variability of canopy geometry in commercial orange groves. Understanding such variability allows sensor-based variable rate application of inputs (i.e, applying proportional rates of inputs based on the variability of canopy size) to be considered as a suitable strategy to optimize the use of fertilizers and plant protection products. Five commercial orange groves were scanned with the developed MTLS system. According to the variability of canopy volume found in those groves, the input savings as a result of implementing sensor-based variable rate technologies were estimated in about 40%. The second goal of this study was to understand the relationship between canopy geometry and several other relevant attributes of the groves. The canopy volume and height maps of three groves were analyzed against historical yield maps, elevation, soil electrical conductivity, organic matter and clay content maps. The correlations found between canopy geometry and yield or soil maps varied from poor to strong correlations, depending on the grove. When classifying the groves into three classes according to canopy size, the yield performance and soil features inside each class was found to be significantly different, indicating that canopy geometry is a suitable variable to guide management zones delineation in one grove. Overall results from this research show the potential of MTLS systems and subsequent data analysis in orange crops indicating how canopy geometry information can be used in site-specific management practices.
Sensores baseados em tecnologia LiDAR (Light Detection and Ranging) têm o potencial de fornecer modelos tridimensionais de árvores, provendo informações como o volume e altura de copa. Essas informações podem ser utilizadas em diagnósticos e recomendações localizadas de fertilizantes e defensivos agrícolas. Este estudo teve como objetivo investigar o uso de sensores LiDAR na cultura da laranja, uma das principais culturas de porte arbóreo no Brasil. Diversas pesquisas têm desenvolvido sistemas LiDAR para culturas arbóreas. Porém, normalmente tais sistemas são empregados em plantas individuais ou em pequenas áreas. Dessa forma, diversos aspectos da aquisição e processamento de dados ainda devem ser desenvolvidos para viabilizar a aplicação em larga escala. O primeiro estudo deste documento (Capítulo 3) focou no desenvolvimento de um sistema LiDAR (Mobile Terrestrial Laser Scanner - MTLS) e nova metodologia de processamento de dados para obtenção de informações acerca da geometria das copas em pomares comerciais de laranja. Um sensor a laser e um receptor RTK-GNSS (Real Time Kinematics - Global Navigation Satellite System) foram instalados em um veículo para leituras em campo. O processamento de dados foi baseado na geração de uma nuvem de pontos, seguida dos passos de filtragem, classificação e reconstrução da superfície das copas. Um pomar comercial de laranja de 25 ha foi utilizado para a validação. O sistema de aquisição e processamento de dados foi capaz de produzir uma nuvem de pontos representativa do pomar, fornecendo informação sobre geometria das plantas em alta resolução. A escolha sobre o tipo de classificação da nuvem de pontos (em plantas individuais ou em seções transversais das fileiras) e sobre o algoritmo de reconstrução de superfície, foi discutida nesse estudo. O segundo estudo (Capítulo 4) buscou caracterizar a variabilidade espacial da geometria de copa em pomares comerciais. Entender tal variabilidade permite avaliar se a aplicação em taxas variáveis de insumos baseada em sensores LiDAR (aplicar quantias de insumos proporcionais ao tamanho das copas) é uma estratégia adequada para otimizar o uso de insumos. Cinco pomares comerciais foram avaliados com o sistema MTLS. De acordo com a variabilidade encontrada, a economia de insumos pelo uso da taxa variável foi estimada em aproximadamente 40%. O segundo objetivo desse estudo foi avaliar a relação entre a geometria de copa e diversos outros parâmetros dos pomares. Os mapas de volume e altura de copa foram comparados aos mapas de produtividade, elevação, condutividade elétrica do solo, matéria orgânica e textura do solo. As correlações entre geometria de copa e produtividade ou fatores de solo variaram de fraca até forte, dependendo do pomar. Quando os pomares foram divididos entre três classes com diferentes tamanhos de copas, o desempenho em produtividade e as características do solo foram distintas entre as três zonas, indicando que parâmetros de geometria de copa são variáveis úteis para a delimitação de unidades de gestão diferenciada em um pomar. Os resultados gerais desta pesquisa mostraram o potencial de sistemas MTLS para pomares de laranja, indicando como a geometria de copa pode ser utilizada na gestão localizada de pomares de laranja.
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Peng, Wei. "Improving Nitrogen Management in Corn- Wheat-Soybean Rotations Using Site Specific Management in Eastern Virginia." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/29485.

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Nitrogen (N) is a key nutrient input to crops and one of the major pollutants to the environment from agriculture in the United States. Recent developments in site-specific management (SSM) technology have the potential to reduce both N overapplication and underapplication and increase farmers' net returns. In Virginia, due to the high variability of within-field yield-limiting factors such as soil physical properties and fertility, the adoption of SSM is hindered by high grid﷓sampling cost. Many Virginia corn-wheat-soybean farms have practiced generating yield maps using yield monitors for several years even though few variable applications based on yield maps were reported. It is unknown if the information generated by yield monitors under actual production situations can be used to direct N management for increased net returns in this area. The overall objective of the study is to analyze the economic and environmental impact of alternative management strategies for N in corn and wheat production based on site-specific information in eastern Virginia. Specifically, evaluations were made of three levels of site-specific information regarding crop N requirements combined with variable and uniform N application. The three levels of information are information about the yield potential of the predominant soil type within the field, information about yield potentials of all soils within the field (soil zones), information about yield potentials of smaller sub-field units which are aggregated into functional zones. Effects of information on expected net returns and net N (applied N that is not removed by the crop) were evaluated for corn-wheat-soybean fields in eastern Virginia. Ex post and ex ante evaluations of information were carried out. Historical weather data and farm-level yield data were used to generate yield sequences for individual fields. A Markov chain model was used to describe both temporal and spatial yield variation. Soil maps were used to divide a field into several soil management units. Cluster analysis was used to group sub﷓field units into functional zones based on yield monitor data. Yield monitor data were used to evaluate ex post information and variable application values for 1995-1999, and ex ante information and variable application values for 1999. Ex post analysis results show that soil zone information increased N input but decreased net return, while functional zone information decreased N input and increased net returns. Variable application decreased N input compared with uniform application. Variable application based on soil zone information reduced net return due to cost of overapplication or underapplication. Variable application based on functional information increased net return. Ex ante results show that information on spatial variability was not able to increase farmers?net return due to the cost of variable N application and information. Variable rate application decreases N input relative to uniform application. However, imprecision in the spatial predictor makes the variable application unprofitable due to an imbalance between costs of under- and over-application of N. Sensitivity analysis showed that value of information was positive when temporal uncertainty was eliminated. The ex post results of this study suggest there is potential to improve efficiency of N use and farmers?net returns with site specific management techniques. The ex ante results suggest that site specific management improvements should be tested under conditions faced by farmers including imperfect information about temporal and spatial yield variability.
Ph. D.
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Falkenberg, Nyland Ray. "Remote sensing for site-specific management of biotic and abiotic stress in cotton." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/478.

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This study evaluated the applicability of remote sensing instrumentation for site- specific management of abiotic and biotic stress on cotton grown under a center pivot. Three different irrigation regimes (100%, 75%, and 50% ETc) were imposed on a cotton field to 1) monitor canopy temperatures of cotton with infrared thermometers (IRTs) in order to pinpoint areas of biotic and abiotic stress, 2) compare aerial infrared photography to IRTs mounted on center pivots to correlate areas of biotic and abiotic stress, and 3) relate yield to canopy temperatures. Pivot-mounted IRTs and IR camera were able to differentiate water stress between the irrigation regimes, however, only the IR camera was effectively able to distinguish between biotic (cotton root rot) and abiotic (drought) stress with the assistance of groundtruthing. The 50% ETc regime had significantly higher canopy temperatures, which were reflected in significantly lower lint yields when compared to the 75% and 100% ETc regimes. Deficit irrigation up to 75% ETc had no impact on yield, indicating that water savings were possible without yield depletion.
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Books on the topic "Site specific weed management"

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Robert, P. C., R. H. Rust, and W. E. Larson, eds. Site-Specific Management for Agricultural Systems. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 1995. http://dx.doi.org/10.2134/1995.site-specificmanagement.

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Carmean, Willard H. Site-quality evaluation, site-quality maintenance, and site-specific management for forest land in northwest Ontario. Thunder Bay: Ontario Ministry of Natural Resources, Northwest Science and Technology, 1996.

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Sites, United States National Park Service Manhattan. Saint Paul's Church National Historic Site, Manhattan Site, New York: Site specific draft general management plan, environmental impact statement. [Washington, D.C.?]: U.S. Dept. of the Interior, National Park Service, 1996.

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United States. National Park Service. Manhattan Sites. General Grant National Memorial, Manhattan Site, New York: Site specific draft general management plan, environmental impact statement. [Washington, D.C.?]: U.S. Dept. of the Interior, National Park Service, 1996.

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Biring, Balvinder Singh. Twelve-year conifer and vegetation responses to discing and glyphosate treatments on a BMWSmw backlog site. Victoria, B.C: British Columbia Ministry of Forests Research Program, 1999.

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U.S. Dept. of Energy. Overview of the 1993 Hanford site-specific plan. Richland, Wash: U.S. Dept. of Energy, 1993.

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United States. National Park Service. Manhattan Sites. Federal Hall National Memorial, Manhattan Site, New York: Site specific draft general management plan, environmental impact statement. [Washington, D.C.?]: U.S. Dept. of the Interior, National Park Service, 1996.

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U.S. National Park Service. Castle Clinton National Monument, Manhattan site, New York: Site specific draft, general management plan, environmental impact statement. [Denver, Colo.?: U.S. Dept. of the Interior, National Park Service, 1996.

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U.S. National Park Service. Castle Clinton National Monument, Manhattan site, New York: Site specific draft, general management plan, environmental impact statement. [Denver, Colo.?: U.S. Dept. of the Interior, National Park Service, 1996.

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U.S. National Park Service. Castle Clinton National Monument, Manhattan site, New York: Site specific draft, general management plan, environmental impact statement. [Denver, Colo.?: U.S. Dept. of the Interior, National Park Service, 1996.

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Book chapters on the topic "Site specific weed management"

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Mortensen, D. A., G. A. Johnson, Dawn Y. Wyse, and Alex R. Martin. "Managing Spatially Variable Weed Populations." In Site-Specific Management for Agricultural Systems, 395–415. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1995.site-specificmanagement.c27.

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Fernández-Quintanilla, Cesar, José Dorado, Dionisio Andújar, and J. M. Peña. "Site-Specific Based Models." In Decision Support Systems for Weed Management, 143–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44402-0_7.

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Eberlein, C. V., B. A. King, and M. J. Guttieri. "Weed Management with Site-Specific Herbigation." In Proceedings of the Fourth International Conference on Precision Agriculture, 869–77. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1999.precisionagproc4.c83.

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Gutjahr, Christoph, and Roland Gerhards. "Decision Rules for Site-Specific Weed Management." In Precision Crop Protection - the Challenge and Use of Heterogeneity, 223–39. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9277-9_14.

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Johnson, G. A., J. Cardina, and D. A. Mortensen. "Site-Specific Weed Management: Current and Future Directions." In The State of Site Specific Management for Agriculture, 131–47. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1997.stateofsitespecific.c7.

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Williams, Martin M., Gerhards Roland, S. Reichart, David A. Mortensen, and Alex R. Martin. "Weed Seedling Population Responses to a Method of Site-Specific Weed Management." In Proceedings of the Fourth International Conference on Precision Agriculture, 123–32. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1999.precisionagproc4.c11.

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Gerhards, Roland. "Site-Specific Weed Control." In Precision in Crop Farming, 273–94. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6760-7_10.

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Ahmad, Latief, and Syed Sheraz Mahdi. "Site-Specific Nutrient Management." In Satellite Farming, 97–109. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03448-1_7.

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Field, Harry L., and John M. Long. "Site-Specific Crop Management." In Introduction to Agricultural Engineering Technology, 401–18. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69679-9_29.

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Whelan, Brett. "Site-Specific Crop Management." In Pedometrics, 597–622. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63439-5_20.

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Conference papers on the topic "Site specific weed management"

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Smith, Bruen G., Livia Faria Defeo, and Troy A. Jensen. "SITE SPECIFIC WEED MANAGEMENT MAPPING SYSTEM USING UNMANNED AERIAL VEHICLE (UAV)." 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.201900207.

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Jeffrey W. Vogel, Robert E. Wolf, and J. Anita Dille. "Evaluation of a Variable Rate Application System for Site-Specific Weed Management." In 2005 Tampa, FL July 17-20, 2005. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2005. http://dx.doi.org/10.13031/2013.18863.

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Maloney, Steven M., Tomas A. Morgan, and Adam M. Engle. "Asset Ranking Manager: Ranking Index of Components." In 12th International Conference on Nuclear Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/icone12-49473.

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The Ranking Index of Components (RIC) is an Asset Reliability Manager (ARM), which itself is a Web Enabled front end where plant database information fields from several disparate databases are combined. That information is used to create a specific weighted number (Ranking Index) relating to that components health and risk to the site. The higher the number, the higher priority that any work associated with that component receives. ARM provides site Engineering, Maintenance and Work Control personnel with a composite real time / (current condition) look at the components “risk of not working” to the plant. Information is extracted from the existing Computerized Maintenance management System (CMMS) and specific site applications and processed nightly. ARM helps to ensure that the most important work is placed into the workweeks and the non value added work is either deferred, frequency changed or deleted. This information is on the Web, updated each night, and available for all employees to use. This effort assists the work management specialist when allocating limited resources to the most important work. The use of this tool has maximized resource usage, performing the most critical work with available resources. This has also helped start a review of PM’s that could be deferred or extended earlier in the work management process. The ARM numbers are valued inputs into work scoping for the workweek managers. System and Component Engineers are using ARM to identify the components that are at “risk of failure” and therefore should be place into the appropriate work week schedule. Based on the insights gained from the initial use of this tool, enhancements are being contemplated that will further increase the value of this tool for work management.
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Péter Ákos Mesterházi, Gábor Milics, Stephan Maniak, Károly Kacz, and Miklós Neményi. "Image Acquisition for Site-specific Weed Monitoring Using Panoramic Annular Lens." In 2005 Tampa, FL July 17-20, 2005. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2005. http://dx.doi.org/10.13031/2013.18884.

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Sugiura, Ryo, and Kazufumi Fujiwara. "<i>UAV Image-Based Weed Detection in Grassland Toward Site-Specific Weed Control</i>." 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.201900620.

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Sah, S. "Site-specific soil microzonation for hazard resistant site and land use planning." In DISASTER MANAGEMENT 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/dman130071.

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Anderson, Gerald L., and C. Yang. "Multispectral videography for site-specific farm management." In SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Brian Huberty, Joan B. Lurie, Jule A. Caylor, Pol Coppin, and Pierre C. Robert. SPIE, 1996. http://dx.doi.org/10.1117/12.256079.

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Al-Kaisi, Mahdi. "Site-Specific Tillage Management and Crop Yield Response." In Proceedings of the 16th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2006. http://dx.doi.org/10.31274/icm-180809-868.

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Schramm, Harold. "On Farm Tools for Site Specific Crop Management." In International Off-Highway & Powerplant Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1995. http://dx.doi.org/10.4271/952116.

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Carlos W. Oliveira, Ronald E. Yoder, John B. Wilkerson, Daniel C. Yoder, and James A. Larson. "Delineation of Management Units for Site-Specific Irrigation." In 2003, Las Vegas, NV July 27-30, 2003. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.13785.

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Reports on the topic "Site specific weed management"

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G. G. Hopkins. Site-specific waste management instruction - radiological screening facility. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/16073.

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Hutchison, J., and G. Jernigan. Site specific plan. [Environmental Restoration and Waste Management, Savannah River Site]. Office of Scientific and Technical Information (OSTI), December 1989. http://dx.doi.org/10.2172/5707423.

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Flynn, N. C. Bechtel Jacobs. Environmental Management Waste Management Facility (EMWMF) Site-Specific Health and Safety Plan, Oak Ridge, Tennessee. Office of Scientific and Technical Information (OSTI), April 2008. http://dx.doi.org/10.2172/949961.

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Berger, Matthew T., and Steven L. Judd. Hellsgate Big Game Winter Range Wildlife Mitigation Site Specific Management Plan for the Hellsgate Project. Office of Scientific and Technical Information (OSTI), January 1999. http://dx.doi.org/10.2172/751953.

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Miles, Gaines E., Yael Edan, F. Tom Turpin, Avshalom Grinstein, Thomas N. Jordan, Amots Hetzroni, Stephen C. Weller, Marvin M. Schreiber, and Okan K. Ersoy. Expert Sensor for Site Specification Application of Agricultural Chemicals. United States Department of Agriculture, August 1995. http://dx.doi.org/10.32747/1995.7570567.bard.

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In this work multispectral reflectance images are used in conjunction with a neural network classifier for the purpose of detecting and classifying weeds under real field conditions. Multispectral reflectance images which contained different combinations of weeds and crops were taken under actual field conditions. This multispectral reflectance information was used to develop algorithms that could segment the plants from the background as well as classify them into weeds or crops. In order to segment the plants from the background the multispectrial reflectance of plants and background were studied and a relationship was derived. It was found that using a ratio of two wavelenght reflectance images (750nm and 670nm) it was possible to segment the plants from the background. Once ths was accomplished it was then possible to classify the segmented images into weed or crop by use of the neural network. The neural network developed for this work is a modification of the standard learning vector quantization algorithm. This neural network was modified by replacing the time-varying adaptation gain with a constant adaptation gain and a binary reinforcement function. This improved accuracy and training time as well as introducing several new properties such as hill climbing and momentum addition. The network was trained and tested with different wavelength combinations in order to find the best results. Finally, the results of the classifier were evaluated using a pixel based method and a block based method. In the pixel based method every single pixel is evaluated to test whether it was classified correctly or not and the best weed classification results were 81% and its associated crop classification accuracy is 57%. In the block based classification method, the image was divided into blocks and each block was evaluated to determine whether they contained weeds or not. Different block sizes and thesholds were tested. The best results for this method were 97% for a block size of 8 inches and a pixel threshold of 60. A simulation model was developed to 1) quantify the effectiveness of a site-specific sprayer, 2) evaluate influence of diffeent design parameters on efficiency of the site-specific sprayer. In each iteration of this model, infected areas (weed patches) in the field were randomly generated and the amount of required herbicides for spraying these areas were calculated. The effectiveness of the sprayer was estimated for different stain sizes, nozzle types (conic and flat), nozzle sizes and stain detection levels of the identification system. Simulation results indicated that the flat nozzle is much more effective as compared to the conic nozzle and its relative efficiency is greater for small nozzle sizes. By using a site-specific sprayer, the average ratio between the spraying areas and the stain areas is about 1.1 to 1.8 which can save up to 92% of herbicides, especially when the proportion of the stain areas is small.
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ROGERS, P. M. Site Specific Single Shell Tank (SST) phase 1 RFI and CMS Work Plan Addendum for Waste Management B-BX-BY. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/803662.

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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no major revisions in the overall objective, however, several revisions were made on the specific objectives. The revised specific objectives were: (1) to develop a yield mapping system for a static situation, using color and thermal imaging independently, (2) to integrate color and thermal imaging for improved yield estimation by combining thermal images with color images to improve fruit detection, and (3) to expand the system to an autonomous mobile platform for a continuous-measure situation. Background, major conclusions, solutions and achievements -- Yield mapping is considered as an initial step for applying precision agriculture technologies. Although many yield mapping systems have been developed for agronomic crops, it remains a difficult task for mapping yield of tree crops. In this project, an autonomous immature fruit yield mapping system was developed. The system could detect and count the number of fruit at early growth stages of citrus fruit so that farmers could apply site-specific management based on the maps. There were two sub-systems, a navigation system and an imaging system. Robot Operating System (ROS) was the backbone for developing the navigation system using an unmanned ground vehicle (UGV). An inertial measurement unit (IMU), wheel encoders and a GPS were integrated using an extended Kalman filter to provide reliable and accurate localization information. A LiDAR was added to support simultaneous localization and mapping (SLAM) algorithms. The color camera on a Microsoft Kinect was used to detect citrus trees and a new machine vision algorithm was developed to enable autonomous navigations in the citrus grove. A multimodal imaging system, which consisted of two color cameras and a thermal camera, was carried by the vehicle for video acquisitions. A novel image registration method was developed for combining color and thermal images and matching fruit in both images which achieved pixel-level accuracy. A new Color- Thermal Combined Probability (CTCP) algorithm was created to effectively fuse information from the color and thermal images to classify potential image regions into fruit and non-fruit classes. Algorithms were also developed to integrate image registration, information fusion and fruit classification and detection into a single step for real-time processing. The imaging system achieved a precision rate of 95.5% and a recall rate of 90.4% on immature green citrus fruit detection which was a great improvement compared to previous studies. Implications – The development of the immature green fruit yield mapping system will help farmers make early decisions for planning operations and marketing so high yield and profit can be achieved.
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Heitman, Joshua L., Alon Ben-Gal, Thomas J. Sauer, Nurit Agam, and John Havlin. Separating Components of Evapotranspiration to Improve Efficiency in Vineyard Water Management. United States Department of Agriculture, March 2014. http://dx.doi.org/10.32747/2014.7594386.bard.

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Vineyards are found on six of seven continents, producing a crop of high economic value with much historic and cultural significance. Because of the wide range of conditions under which grapes are grown, management approaches are highly varied and must be adapted to local climatic constraints. Research has been conducted in the traditionally prominent grape growing regions of Europe, Australia, and the western USA, but far less information is available to guide production under more extreme growing conditions. The overarching goal of this project was to improve understanding of vineyard water management related to the critical inter-row zone. Experiments were conducted in moist temperate (North Carolina, USA) and arid (Negev, Israel) regions in order to address inter-row water use under high and low water availability conditions. Specific objectives were to: i) calibrate and verify a modeling technique to identify components of evapotranspiration (ET) in temperate and semiarid vineyard systems, ii) evaluate and refine strategies for excess water removal in vineyards for moist temperate regions of the Southeastern USA, and iii) evaluate and refine strategies for water conservation in vineyards for semi-arid regions of Israel. Several new measurement and modeling techniques were adapted and assessed in order to partition ET between favorable transpiration by the grapes and potentially detrimental water use within the vineyard inter-row. A micro Bowen ratio measurement system was developed to quantify ET from inter-rows. The approach was successful at the NC site, providing strong correlation with standard measurement approaches and adding capability for continuous, non-destructive measurement within a relatively small footprint. The environmental conditions in the Negev site were found to limit the applicability of the technique. Technical issues are yet to be solved to make this technique sufficiently robust. The HYDRUS 2D/3D modeling package was also adapted using data obtained in a series of intense field campaigns at the Negev site. The adapted model was able to account for spatial variation in surface boundary conditions, created by diurnal canopy shading, in order to accurately calculate the contribution of interrow evaporation (E) as a component of system ET. Experiments evaluated common practices in the southeastern USA: inter-row cover crops purported to reduce water availability and thereby favorably reduce grapevine vegetative growth; and southern Israel: drip irrigation applied to produce a high value crop with maximum water use efficiency. Results from the NC site indicated that water use by the cover crop contributed a significant portion of vineyard ET (up to 93% in May), but that with ample rainfall typical to the region, cover crop water use did little to limit water availability for the grape vines. A potential consequence, however, was elevated below canopy humidity owing to the increased inter-row evapotranspiration associated with the cover crops. This creates increased potential for fungal disease occurrence, which is a common problem in the region. Analysis from the Negev site reveals that, on average, E accounts for about10% of the total vineyard ET in an isolated dripirrigated vineyard. The proportion of ET contributed by E increased from May until just before harvest in July, which could be explained primarily by changes in weather conditions. While non-productive water loss as E is relatively small, experiments indicate that further improvements in irrigation efficiency may be possible by considering diurnal shading effects on below canopy potential ET. Overall, research provided both scientific and practical outcomes including new measurement and modeling techniques, and new insights for humid and arid vineyard systems. Research techniques developed through the project will be useful for other agricultural systems, and the successful synergistic cooperation amongst the research team offers opportunity for future collaboration.
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Bar-Tal, Asher, Paul R. Bloom, Pinchas Fine, C. Edward Clapp, Aviva Hadas, Rodney T. Venterea, Dan Zohar, Dong Chen, and Jean-Alex Molina. Effects of soil properties and organic residues management on C sequestration and N losses. United States Department of Agriculture, August 2008. http://dx.doi.org/10.32747/2008.7587729.bard.

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Objectives - The overall objective of this proposal was to explore the effects of soil properties and management practices on C sequestration in soils and off-site losses of N.The specific objectives were: 1. to investigate and to quantify the effects of soil properties on C transformations that follow OW decomposition, C losses by gaseous emission, and its sequestration by organic and mineral components of the soil; 2. to investigate and to quantify the effects of soil properties on organic N mineralization and transformations in soil, its losses by leaching and gaseous emission; 3. to investigate and to quantify the effects of management practices and plants root activity and decomposition on C and N transformations; and 4. to upgrade the models NCSOIL and NCSWAP to include inorganic C and root exudation dynamics. The last objective has not been fulfilled due to difficulties in experimentally quantification of the effects of soil inorganic component on root exudation dynamics. Objective 4 was modified to explore the ability of NCSOIL to simulate organic matter decomposition and N transformations in non- and calcareous soils. Background - Rates of decomposition of organic plant residues or organic manures in soil determine the amount of carbon (C), which is mineralized and released as CO₂ versus the amount of C that is retained in soil organic matter (SOM). Decomposition rates also greatly influence the amount of nitrogen (N) which becomes available for plant uptake, is leached from the soil or lost as gaseous emission, versus that which is retained in SOM. Microbial decomposition of residues in soil is strongly influenced by soil management as well as soil chemical and physical properties and also by plant roots via the processes of mineral N uptake, respiration, exudation and decay.
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Margenau, Eric, and Lenza Paul. A 23-year summary of a Monitoring Avian Productivity and Survivorship (MAPS) bird banding site in New River Gorge National River, West Virginia. National Park Service, August 2021. http://dx.doi.org/10.36967/nrr-2287051.

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Long-term bird banding data were collected from 1996–2019 (except in 2008) to assess the New River riparian zone avian community in one location in New River Gorge National River (NERI). The NERI banding station has banded over 4,500 individuals over 10,700 net hours in the twenty-three years it has been in operation and has captured 80 different species. Total captures, capture rate, and total species have been declining annually over the study period. Species associated with early-successional/shrubland habitat also declined over the study period, which is consistent with regional trends during the same time frame. Species richness of habitat guilds did not change over the study period within specific major habitat types. Capture metrics of Louisiana Waterthrush, an obligate riparian species, did increase over the study period. Continued banding will further provide information to assist in local management and contribute to regional data.
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