Showing 501 - 520 results of 84,614 for search '"farming"', query time: 0.38s Refine Results
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    Fun on the farm: evaluation of a lesson to teach students about the spread of infection on school farm visits. by Meredith K D Hawking, Donna M Lecky, Neville Q Verlander, Cliodna A M McNulty

    Published 2013-01-01
    “…BACKGROUND: School visits to farms are a positive educational experience but pose risks due to the spread of zoonotic infections. …”
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    FarmCan: a physical, statistical, and machine learning model to forecast crop water deficit for farms by S. Sadri, J. S. Famiglietti, M. Pan, H. E. Beck, A. Berg, E. F. Wood

    Published 2022-10-01
    “…In this study, we designed FarmCan, a novel, robust remote sensing and machine learning (ML) framework to forecast farms' needed daily crop water quantity or needed irrigation (NI). …”
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    Farm-level factors associated with lameness prevalence, productivity, and milk quality in farms with automated milking systems by R.D. Matson, M.T.M. King, T.F. Duffield, D.E. Santschi, K. Orsel, E.A. Pajor, G.B. Penner, T. Mutsvangwa, T.J. DeVries

    Published 2022-01-01
    “…From April to September 2019, 75 herds with AMS in Ontario, Canada, were visited, and data on barn design and farm management practices were collected. Data from AMS were collected, along with milk recording data, for the 6-mo period before farm visits. …”
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    A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling by M. P. van der Laan, O. García-Santiago, M. Kelly, A. Meyer Forsting, C. Dubreuil-Boisclair, K. Sponheim Seim, M. Imberger, A. Peña, N. N. Sørensen, P.-E. Réthoré

    Published 2023-05-01
    “…<p>Offshore wind farms are more commonly installed in wind farm clusters, where wind farm interaction can lead to energy losses; hence, there is a need for numerical models that can properly simulate wind farm interaction. …”
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    Does youth participation in the farming program impact farm productivity and household welfare? Evidence from Nigeria by Abdulrazaq K. Daudu, Tahirou Abdoulaye, Zoumana Bamba, Suleiman B. Shuaib, Bola A. Awotide

    Published 2023-04-01
    “…This study attempts to estimate the impact of youth participation in farming programs on farm productivity and welfare using rice-growing household data from northern Nigeria. …”
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    Association between antimicrobial usage, biosecurity measures as well as farm performance in German farrow-to-finish farms by S. Raasch, M. Postma, J. Dewulf, K. D. C. Stärk, E. grosse Beilage

    Published 2018-12-01
    “…To investigate between-farm variations of high and low usage the treatment incidence (TI) per age group in 60 German farrow-to-finish herds was qualitatively and quantitatively analysed and linked to biosecurity measures, and herd management characteristics. …”
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    Farm Type and High Tunnel Management: Connections between Farm Characteristics and High Tunnel Outcomes in Indiana by Analena B. Bruce, Elizabeth T. Maynard, Julia C.D. Valliant, James R. Farmer

    Published 2021-08-01
    “…Our findings show that farmers managing different types of farms have taken distinct approaches to integrating and managing high tunnels on their farms, with important implications for farm-level outcomes. …”
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    Capturing farm diversity with hypothesis-based typologies: An innovative methodological framework for farming system typology development. by Stéphanie Alvarez, Carl J Timler, Mirja Michalscheck, Wim Paas, Katrien Descheemaeker, Pablo Tittonell, Jens A Andersson, Jeroen C J Groot

    Published 2018-01-01
    “…Creating typologies is a way to summarize the large heterogeneity of smallholder farming systems into a few farm types. Various methods exist, commonly using statistical analysis, to create these typologies. …”
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    Coordinated Implementation of Climate-Smart Practices in Coffee Farming Increases Benefits at Farm, Landscape and Global Scale by Paul Günter Schmidt, Christian Bunn, Christian Bunn

    Published 2021-11-01
    “…We review literature on CS agriculture, CS landscapes, and coffee farming to firstly identify the different CS-practices applicable to coffee farming systems, and then group these into functional groups that represent the main functional trait targeted by different practices within coffee-farming systems. …”
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