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Journal articles on the topic 'Farm management Farm management'

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Published: 4 June 2021
Last updated: 12 February 2022

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1

Barnard, C. S. "Farm management." Agricultural Administration 20, no. 2 (January 1985): 119–21. http://dx.doi.org/10.1016/0309-586x(85)90030-5.

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2

Errington, Andrew. "Farm management." Agricultural Systems 18, no. 1 (January 1985): 61–65. http://dx.doi.org/10.1016/0308-521x(85)90057-5.

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3

Iglesias, Gregorio, Rodrigo Carballo, Javier Abanades, and Deborah Greaves. "WAVE FARM LAYOUT AND COASTAL IMPACTS." Coastal Engineering Proceedings 1, no. 34 (October 30, 2014): 36. http://dx.doi.org/10.9753/icce.v34.management.36.

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4

Middelmann, R. "FARM MANAGEMENT RECORDS." Acta Horticulturae, no. 716 (August 2006): 143–48. http://dx.doi.org/10.17660/actahortic.2006.716.19.

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5

GREEN, D. A. G. "African Farm Management." African Affairs 88, no. 353 (October 1989): 611–12. http://dx.doi.org/10.1093/oxfordjournals.afraf.a098242.

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6

Zelenko, Оksana. "Features Farm Management." Economic journal of Lesia Ukrainka Eastern European National University 9, no. 1 (2017): 71–75. http://dx.doi.org/10.29038/2411-4014-2017-01-71-75.

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7

Leuchter, Miriam. "MANAGEMENT FARM TEAMS." Journal of Business Strategy 19, no. 3 (March 1998): 29–32. http://dx.doi.org/10.1108/eb039934.

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8

Webster, J. P. G. "African farm management." Agricultural Administration and Extension 30, no. 2 (January 1988): 161–62. http://dx.doi.org/10.1016/0269-7475(88)90124-9.

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9

Fawcett, Roy H. "African farm management." Agricultural Systems 29, no. 1 (1989): 93. http://dx.doi.org/10.1016/0308-521x(89)90073-5.

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10

WARE, D. W. "USING FARM MANAGEMENT RESEARCH IN FARM PLANNING*." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 3, no. 2 (November 13, 2008): 44–48. http://dx.doi.org/10.1111/j.1744-7976.1955.tb01279.x.

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11

Evans, M. R. "Agricultural Smells from Livestock Farms—Farm Waste Management." Agricultural Wastes 18, no. 2 (January 1986): 173–74. http://dx.doi.org/10.1016/0141-4607(86)90011-9.

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12

JEFFREY., A. G. "THE USE OF FARM ACCOUNTS IN FARM MANAGEMENT." Journal of proceedings of the Agricultural Economics Society 8, no. 1 (November 5, 2008): 48–68. http://dx.doi.org/10.1111/j.1477-9552.1948.tb01918.x.

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13

Shichinohe, Chosei. "Taira Yori, Farm Management." Journal of Rural Problems 27, no. 3 (1991): 147–49. http://dx.doi.org/10.7310/arfe1965.27.147.

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14

PETTIT, G. H. N. "FARM MANAGEMENT ENTERPRISE STUDIES." Journal of proceedings of the Agricultural Economics Society 6, no. 1 (November 5, 2008): 56–73. http://dx.doi.org/10.1111/j.1477-9552.1940.tb01894.x.

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15

Sinclair, E. R. "A COMPUTER-BASED FARM-MANAGEMENT PACKAGE FOR PINEAPPLE FARMS." Acta Horticulturae, no. 334 (October 1993): 191–96. http://dx.doi.org/10.17660/actahortic.1993.334.19.

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16

Albrecht, Gregory L., Quirine M. Ketterings, Karl J. Czymmek, Michael E. Amburgh, and Danny G. Fox. "Whole Farm Nutrient Management: Capstone Course on Environmental Management of Dairy Farms." Journal of Natural Resources and Life Sciences Education 35, no. 1 (January 2006): 12–23. http://dx.doi.org/10.2134/jnrlse2006.0012.

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17

Gloy, Brent A., Jeffrey Hyde, and Eddy L. LaDue. "Dairy Farm Management and Long-Term Farm Financial Performance." Agricultural and Resource Economics Review 31, no. 2 (October 2002): 233–47. http://dx.doi.org/10.1017/s1068280500004032.

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The financial performance and relationships between several management factors and financial performance are examined in a panel of 107 New York dairy farms. A panel regression model with fixed effects is estimated in an effort to identify management factors that influence profitability. The model is estimated with two-stage least squares to account for endogenous farm size and debt use variables. Production management factors such as farm size, rate of milk production, and milking system had a positive impact on farm profitability. Financial management variables for the type of accounting system used and the debt use were also significantly related to profitability. Unlike the findings of many other studies, measures of human capital did not have a statistically significant impact on profitability.
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18

Cooper, Julia. "Uniform or farm-specific management in on-farm research?" American Journal of Alternative Agriculture 9, no. 3 (September 1994): 126. http://dx.doi.org/10.1017/s0889189300005804.

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19

Grilli, Annette Renee, Malcolm Spaulding, Christopher O'Reilly, and Gopu Potty. "OFFSHORE WIND FARM MACRO AND MICRO SITING PROTOCOL APPLICATION TO RHODE ISLAND." Coastal Engineering Proceedings 1, no. 33 (December 15, 2012): 73. http://dx.doi.org/10.9753/icce.v33.management.73.

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Since 2008, the Rhode Island (RI) Coastal Resources Management Council has been leading the development of an Ocean Special Area Management Plan (Ocean SAMP), in partnership with the University of Rhode Island, resulting in an extensive multidisciplinary analysis of the Rhode Island offshore environment and its suitability to site offshore wind farms. As part of SAMP, a comprehensive macro-siting optimization tool: the Wind Farm Siting Index (WIFSI), integrating technical, societal, and ecological constraints, was developed within the conceptual framework of ecosystem services. WIFSI uses multivariate statistical analyses (principal component and k-means cluster analyses) to define homogeneous regions, which integrate and balance ecological and societal constraints as part of a Cost/Benefit tool. More recently, a Wind Farm micro-Siting Optimization Tool was developed (WIFSO), which uses a genetic algorithm to derive the optimal layout of a wind farm sited within one of the macro-siting selected regions. In this work, we present an overview of the current state of development of the integrated macro- and micro- siting tools.
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20

Zeuli, Kimberly A., and Robert P. King. "Gender Differences in Farm Management." Applied Economic Perspectives and Policy 20, no. 2 (October 1998): 513–29. http://dx.doi.org/10.2307/1350005.

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21

Winter, F. "COMPUTER AIDED FRUIT FARM MANAGEMENT." Acta Horticulturae, no. 276 (July 1990): 371–72. http://dx.doi.org/10.17660/actahortic.1990.276.42.

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22

ABBOTT, W. S. "THE ART OF FARM MANAGEMENT." Journal of proceedings of the Agricultural Economics Society 8, no. 3 (November 5, 2008): 208–22. http://dx.doi.org/10.1111/j.1477-9552.1949.tb01932.x.

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23

THOMAS, W. J. "THE TEACHING OF FARM MANAGEMENT." Journal of proceedings of the Agricultural Economics Society 10, no. 2 (November 5, 2008): 158–68. http://dx.doi.org/10.1111/j.1477-9552.1953.tb01866.x.

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24

Collinson, M. P. "Economics of tropical farm management." Agricultural Economics 1, no. 2 (June 1987): 192–93. http://dx.doi.org/10.1111/j.1574-0862.1987.tb00018.x.

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25

Mumey, G. A. "Improving On-Farm Financial Management." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 35, no. 4 (December 1987): 735–40. http://dx.doi.org/10.1111/j.1744-7976.1987.tb02264.x.

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26

Evans, M., R. Mondor, and D. Flaten. "Expert Systems and Farm Management." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 37, no. 4 (November 13, 2008): 639–66. http://dx.doi.org/10.1111/j.1744-7976.1989.tb00783.x.

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27

Lins, David A. "Future Directions in Farm Management." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 37, no. 4 (November 13, 2008): 765–74. http://dx.doi.org/10.1111/j.1744-7976.1989.tb00795.x.

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28

Loree, J. Wilson. "Technology in Farm Business Management." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 42, no. 4 (December 1994): 493–96. http://dx.doi.org/10.1111/j.1744-7976.1994.tb00042.x.

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29

Lines, Roger. "Book Review: Farm Woodland Management." Outlook on Agriculture 17, no. 2 (June 1988): 86. http://dx.doi.org/10.1177/003072708801700211.

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30

Orde, Anne. "The Culleys and Farm Management." Northern History 41, no. 2 (September 2004): 327–38. http://dx.doi.org/10.1179/007817204790181069.

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31

Legg, Wilfrid, and Kevin Parris. "Farm management and the environment." Journal of Environmental Management 82, no. 3 (February 2007): 299–301. http://dx.doi.org/10.1016/j.jenvman.2006.08.013.

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32

Sonka, Steven T. "Information management in farm production." Computers and Electronics in Agriculture 1, no. 1 (October 1985): 75–85. http://dx.doi.org/10.1016/0168-1699(85)90007-9.

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33

Esslemont, R. J. "Computers in dairy farm management." British Veterinary Journal 144, no. 4 (July 1988): 351–62. http://dx.doi.org/10.1016/0007-1935(88)90064-4.

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34

Fountas, S., C. G. Sorensen, Z. Tsiropoulos, C. Cavalaris, V. Liakos, and T. Gemtos. "Farm machinery management information system." Computers and Electronics in Agriculture 110 (January 2015): 131–38. http://dx.doi.org/10.1016/j.compag.2014.11.011.

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35

Snellen, W. B. "Management of farm irrigation systems." Agricultural Water Management 28, no. 2 (September 1995): 183–84. http://dx.doi.org/10.1016/0378-3774(95)90010-1.

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36

Chindarkar, Namrata, Yvonne Jie Chen, and Shilpa Sathe. "Link between farm electricity supply management, farm investments, and farm incomes - Evidence from India." Energy Policy 141 (June 2020): 111407. http://dx.doi.org/10.1016/j.enpol.2020.111407.

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37

Menardo, Simona, Giacomo Lanza, and Werner Berg. "The Effect of Diet and Farm Management on N2O Emissions from Dairy Farms Estimated from Farm Data." Agriculture 11, no. 7 (July 11, 2021): 654. http://dx.doi.org/10.3390/agriculture11070654.

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The N2O emissions of 21 dairy farms in Germany were evaluated to determine the feasibility of an estimation of emissions from farm data and the effects of the farm management, along with possible mitigation strategies. Emissions due to the application of different fertilisers, manure storage and grazing were calculated based on equations from the IPCC (Intergovernmental Panel of Climate Change) and German emission inventory. The dependence of the N2O emissions on fertiliser type and quantity, cultivated crops and diet composition was assessed via correlation analysis and linear regression. The N2O emissions ranged between 0.11 and 0.29 kg CO2eq per kilogram energy-corrected milk, with on average 60% resulting from fertilisation and less than 30% from fertiliser storage and field applications. The total emissions had a high dependence on the diet composition; in particular, on the grass/maize ratio and the protein content of the animal diet, as well as from the manure management. A linear model for the prediction of the N2O emissions based on the diet composition and the fertilisation reached a predictive power of R2 = 0.89. As a possible mitigation strategy, the substitution of slurry for solid manure would reduce N2O emissions by 40%. Feeding cows maize-based diets instead of grass-based diets could reduce them by 14%.
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38

Harling, Kenneth F., and Phoebe Quail. "Exploring a general management approach to farm management." Agribusiness 6, no. 5 (September 1990): 425–41. http://dx.doi.org/10.1002/1520-6297(199009)6:5<425::aid-agr2720060503>3.0.co;2-q.

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39

Lai, John, Nicole J. Olynk Widmar, Michael A. Gunderson, David A. Widmar, and David L. Ortega. "Prioritization of farm success factors by commercial farm managers." International Food and Agribusiness Management Review 21, no. 6 (July 14, 2018): 817–32. http://dx.doi.org/10.22434/ifamr2017.0035.

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This study elicits U.S. agricultural producer preferences for five key management success factors: managing output prices; managing production; controlling costs; managing land/equipment/facilities; and managing people. The objective of this analysis was to determine the relative importance of each of the five profit-centric functional areas of management among U.S. farm managers. Significant heterogeneity in preferences was observed over the management areas. Farm managers, on average, placed the highest importance in controlling costs (29% preference share). Differences emerged among groups of farmers in a latent class model where managing people became relatively important to the viability of the agribusiness.
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40

Öhlmér, Bo. "On‐farm computers for farm management in Sweden: potentials and problems." Agricultural Economics 5, no. 3 (July 1991): 279–86. http://dx.doi.org/10.1111/j.1574-0862.1991.tb00158.x.

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41

Öhlmér, B. "On-farm computers for farm management in Sweden: potentials and problems." Agricultural Economics 5, no. 3 (July 1991): 279–86. http://dx.doi.org/10.1016/0169-5150(91)90049-q.

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42

Ondersteijn, C. J. M., A. C. G. Beldman, C. H. G. Daatselaar, G. W. J. Giesen, and R. B. M. Huirne. "Farm structure or farm management: effective ways to reduce nutrient surpluses on dairy farms and their financial impacts." Livestock Production Science 84, no. 2 (December 2003): 171–81. http://dx.doi.org/10.1016/j.livprodsci.2003.09.013.

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43

Bacinschi, Nicolae, Ina Pogonea, Maria Mihalachi-Anghel, and Lilia Podgurschi. "Mechanisms and management of diuretic resistance." Farmacist.ro 6, no. 191 (2019): 40. http://dx.doi.org/10.26416/farm.191.6.2019.2692.

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44

Jaworski, Jacek, Katarzyna Sokołowska, and Tomasz Kondraszuk. "Sources of Strategic Information in Farm Management in Poland. Study Results." Journal of Management and Business Administration. Central Europe 25, no. 1 (January 15, 2017): 98–120. http://dx.doi.org/10.7206/jmba.ce.2450-7814.191.

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45

VERMEULEN, P. C. M., M. N. A. RUIJS, and J. BENNINGA. "FARM MANAGEMENT ADVISORY SYSTEM FOR HORTICULTURE." Acta Horticulturae, no. 223 (May 1988): 254–58. http://dx.doi.org/10.17660/actahortic.1988.223.40.

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46

Lewis, Tony. "Evolution of farm management information systems." Computers and Electronics in Agriculture 19, no. 3 (March 1998): 233–48. http://dx.doi.org/10.1016/s0168-1699(97)00040-9.

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47

Szilágyi, Róbert. "Possibilities of Farm Management Decision Support." Acta Agraria Debreceniensis, no. 10 (May 11, 2003): 287–92. http://dx.doi.org/10.34101/actaagrar/10/3507.

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Computer science has a major role in the decision-making process of farmers. In this process IT can be applied to virtually all phase: from infromation gathering to information processing. I am examining the position of informatics in the decision-making process. IT can be used in every single phases of the decision-making process. In my essay the useage of Internet and the possibilities it can provide play a significant role.After a brief description of the IT position of Hungarian agriculture I am introducing some programs, which can be used in the management’s decision-supporting system. Besides the Hungarian experiences the West European surveys also comfirm the application of Information Technology.
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48

Shioya, Tetsuo. "Weed Management and Farm Work Research." Japanese Journal of Farm Work Research 52, no. 2 (2017): 83–86. http://dx.doi.org/10.4035/jsfwr.52.83.

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49

Lai, John, Nicole J. Olynk Widmar, and Christopher A. Wolf. "Dairy farm management priorities and implications." International Food and Agribusiness Management Review 22, no. 1 (January 28, 2019): 15–30. http://dx.doi.org/10.22434/ifamr2018.0010.

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This analysis examines how dairy farmers prioritize critical management areas in their operations and derives implications for future growth. A questionnaire elicited preferences from seven dairy farm management areas: production/milking, calf/heifer, feed/crop, financial planning/analysis/management, risk, milk marketing, and employee/labor management. Significant heterogeneity was identified surrounding farmer prioritization across management areas. Dairy manager respondents allocated 52% of their management capacity and time, on average, to production/milking management. Investigating priorities via a latent class model, in one class, financial planning/analysis/management or employee/labor management become relatively more important, and potentially critical, to the growth of the operation. This analysis provides dairy operators and industry stakeholders insights to facilitate dairy farm success and growth. Larger farms already placing greater emphasis on employees and labor management indicated they were prioritizing financial management for their success whereas smaller farms with growth intentions largely lacked management focused on areas outside of production and milking management.
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50

Hamoda, Mohamed F., and Saed M. Al-Awadi. "Wastewater management in a dairy farm." Water Science and Technology 32, no. 11 (December 1, 1995): 1–11. http://dx.doi.org/10.2166/wst.1995.0387.

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Field sampling and laboratory experimentation were conducted on wastewater effluent generated at a dairy farm in order to characterise the wastewater, evaluate existing primary treatment facilities, and examine an appropriate wastewater treatment system to produce good quality effluents. It has been found that the farm contributes effluents containing considerable loads of organics, solids and nutrient pollutants. Existing treatment facilities which are limited to batch-operated primary settling tanks, are not capable of producing good quality effluent. Experimentation on an aerobic, suspended growth, biological system using sequencing batch reactors (SBR) indicated that the pollutant loads in the primary-treated effluent could be substantially reduced. The study showed that a wastewater treatment system involving primary settling tanks combined with additional aerobic biological treatment is capable of removing about 94% COD and 96% SS from the farm effluents. This system could be easily integrated and coordinated with existing facilities. A wastewater management scheme has been proposed to include waste minimisation, waste treatment and effluent reuse in irrigation.
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