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Journal articles on the topic 'Farm development'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Dr. P. Subramanyachary, Dr P. Subramanyachary, and Dr M. Reddi Ramu. "Rural Development - Non - Farm Sector: A Need For Sustainable Development In India." Indian Journal of Applied Research 3, no. 1 (October 1, 2011): 161–63. http://dx.doi.org/10.15373/2249555x/jan2013/59.

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2

Pfaffermayr, Michael, Christoph R. Weiss, and Josef Zweim�ller. "Farm income, market wages, and off-farm labour supply." Empirica 18, no. 2 (1991): 221–35. http://dx.doi.org/10.1007/bf00924913.

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3

SAVICKIENĖ, Jūratė, and Astrida MICEIKIENĖ. "Sustainable economic development assessment model for family farms." Agricultural Economics (Zemědělská ekonomika) 64, No. 12 (December 12, 2018): 527–35. http://dx.doi.org/10.17221/310/2017-agricecon.

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This article is aimed to address the issue of sustainable economic development assessment in family farms. A complex methodology of family farm sustainable economic development assessment based on the family farm sustainable economic development index has been created following analysis of family farm sustainable economic development assessment methodologies, which are proposed by scientists and used in practice. The Kruskal-Wallis test and hierarchical cluster analysis were used to check the relevance of the index in family farm sustainable economic development assessment. The index value range was calculated using descriptive statistics. The characteristics of the index allow creating models for family farm sustainable economic development classification types based on k-means clustering. The family farms were classified into nine types. Examples of Lithuanian family farms were provided to demonstrate practical applications of the index. Furthermore, analysis of Lithuanian family farm sustainable economic development types by specialisation enabled to identify the main reasons for the existing situation in the farms.

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4

Perpar, Anton. "Spatial aspects of farm development." Dela, no. 25 (December 31, 2006): 61. http://dx.doi.org/10.4312/dela.25.5.61-71.

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5

Gasson, R. "FARM DIVERSIFICATION AND RURAL DEVELOPMENT." Journal of Agricultural Economics 39, no. 2 (May 1988): 175–82. http://dx.doi.org/10.1111/j.1477-9552.1988.tb00575.x.

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6

R., M., and S. M. McFarlane. "Dangemanning Farm: a holistic development." Pacific Conservation Biology 9, no. 1 (2003): 39. http://dx.doi.org/10.1071/pc030039.

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DANGEMANNING Farm is a cereal, pulse and sheep property in the central wheatbelt of Western Australia with a 325 mm annual rainfall which falls mainly in winter. The farm was first settled in the early 1900s and has evolved, both in design and farm practice, in response to the effects of past practices on production and land degradation. It is now a farm in its early stages of a modern holistic development, with an emphasis on the integration of agricultural systems, Landcare and nature conservation. The long-term goal for the farm is to achieve sustainable farming in a non-degraded landscape.

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7

Carter, S. E. "Agroecology and small farm development." Agricultural Systems 38, no. 1 (January 1992): 106. http://dx.doi.org/10.1016/0308-521x(92)90090-b.

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8

Sutherland, Lee-Ann, and Kirsty L. Holstead. "Future-proofing the farm: On-farm wind turbine development in farm business decision-making." Land Use Policy 36 (January 2014): 102–12. http://dx.doi.org/10.1016/j.landusepol.2013.07.004.

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9

Preston, David A. "Too busy to farm: Under‐utilisation of farm land in central Java." Journal of Development Studies 26, no. 1 (October 1989): 43–57. http://dx.doi.org/10.1080/00220388908422139.

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10

Bojnec, Štefan, and Imre Fertő. "Farm income sources, farm size and farm technical efficiency in Slovenia." Post-Communist Economies 25, no. 3 (September 2013): 343–56. http://dx.doi.org/10.1080/14631377.2013.813140.

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11

Möllers, Judith, and Jana Fritzsch. "Individual farm exit decisions in Croatian family farms." Post-Communist Economies 22, no. 1 (March 2010): 119–28. http://dx.doi.org/10.1080/14631370903525645.

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12

Shujun, LI. "Development of Farm machinery in China." IFAC Proceedings Volumes 46, no. 4 (2013): 9–10. http://dx.doi.org/10.3182/20130327-3-jp-3017.00005.

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13

Mansor, Hasmah, Ammar Nor Azlin, Teddy Surya Gunawan, Mahanijah Md Kamal, and Ahmad Zawawi Hashim. "Development of Smart Chicken Poultry Farm." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 2 (May 1, 2018): 498. http://dx.doi.org/10.11591/ijeecs.v10.i2.pp498-505.

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In Malaysia, most agriculture industries are still using conventional method to operate. All routines in monitoring and control of chicken poultry farm, for example, utilise man power where the source and energy are very limited. However, the demand from consumers towards the agricultural output is increasing day by day and requires more advanced farming technology in order to obtain maximum efficiency. This paper is focused on the development of smart chicken poultry farm to provide monitoring and control of the farm condition. The electronics, embedded systems and wireless technology are integrated with farm monitoring. Using Master-Slave concept, sensors are used to measure the ambient temperature, ammonia and humidity of the hall of chicken poultry for each slave. The sensors’ readings are then transmitted wirelessly over radio frequency by serial communication using HC-12 RF module to master for further data processing. The design process of both master and slave involved the interfacing of microprocessor, ATMEL ATMega328 with several analogue sensors, LCD, buzzer, relay output, monetary push button and light indicator. Based on the readings from the sensors, the microcontroller produced the output which is connected to the fan for better air ventilation in the chicken poultry farm. Furthermore, PID controller has been integrated to optimize the output control method, hence optimizing hall condition which results to better output for the farm. The system has been successfully implemented and tested at Myra Farm & Services, located at Kalumpang, Tanjung Malim, Perak, Malaysia.<em><span style="font-size: 9pt; font-family: Arial, sans-serif;" lang="EN-MY">In Malaysia, most agriculture industries are still using conventional method to operate. All routines in monitoring and control of chicken poultry farm, for example, utilise man power where the source and energy are very limited. However, the demand from consumers towards the agricultural output is increasing day by day and requires more advanced farming technology in order to obtain maximum efficiency. This paper is focused on the development of smart chicken poultry farm to provide monitoring and control of the farm condition. The electronics, embedded systems and wireless technology are integrated with farm monitoring. Using Master-Slave concept, sensors are used to measure the ambient temperature, ammonia and humidity of the hall of chicken poultry for each slave. The sensors’ readings are then transmitted wirelessly over radio frequency by serial communication using HC-12 RF module to master for further data processing. The design process of both master and slave involved the interfacing of microprocessor, ATMEL ATMega328 with several analogue sensors, LCD, buzzer, relay output, monetary push button and light indicator. Based on the readings from the sensors, the microcontroller produced the output which is connected to the fan for better air ventilation in the chicken poultry farm. Furthermore, PID controller has been integrated to optimize the output control method, hence optimizing hall condition which results to better output for the farm. The system has been successfully implemented and tested at Myra Farm & Services, located at Kalumpang, Tanjung Malim, Perak, Malaysia.</span></em>

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14

Kalchenko, S. V. "Current development prospects of farm households." Актуальні проблеми економіки, no. 12 (150) (2013): 147–52.

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15

Orpin, Peter. "Farm animal practice promotion and development." In Practice 15, no. 2 (March 1993): 100–105. http://dx.doi.org/10.1136/inpract.15.2.100.

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16

Machethe, Charles L., Thomas Reardon, and Donald C. Mead. "Promoting farm/non‐farm linkages for employment of the poor in South Africa: A research agenda focused on small‐scale farms and agroindustry." Development Southern Africa 14, no. 3 (October 1997): 377–94. http://dx.doi.org/10.1080/03768359708439972.

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17

Gansonré, Soumaila. "Analysis of off-farm work decisions among smallholder farm households in Burkina Faso." Development in Practice 29, no. 3 (November 13, 2018): 326–35. http://dx.doi.org/10.1080/09614524.2018.1541965.

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18

Paarlberg, Robert L. "Farm Development in Poor Countries: The Disputed Consequences for U.S. Farm Trade." American Journal of Agricultural Economics 68, no. 5 (December 1986): 1353–57. http://dx.doi.org/10.2307/1241907.

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19

Andersson, Hans, and Kent D. Olson. "On Comparing Farm Record Association Members to the Farm Population." Applied Economic Perspectives and Policy 18, no. 2 (May 1996): 259–64. http://dx.doi.org/10.2307/1349437.

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20

Ellison, Brenna D., Jayson L. Lusk, and Brian C. Briggeman. "Taxpayer Beliefs about Farm Income and Preferences for Farm Policy." Applied Economic Perspectives and Policy 32, no. 2 (June 2010): 338–54. http://dx.doi.org/10.1093/aepp/ppp014.

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21

Tsoy, Yu A., and R. A. Baisheva. "Technological aspects of smart dairy farm development." Agricultural Science Euro-North-East 20, no. 2 (April 28, 2019): 192–99. http://dx.doi.org/10.30766/2072-9081.2019.20.2.192-199.

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The article introduces the concept of «smart» farm as a tool for decision making support and provides the requirements necessary for its functioning. The aim of the research is the development of the concept of “smart” farm using modern system approach and intellectual technologies of biomachine systems. The conditions influencing the “smart” dairy farm operation according to V.P. Goryachkin, P.K. Anokhin and YA. Gulsen are outlined. The structure of management on a dairy farm in the form of the expanded ergatic system is presented. The problems associated with the uncertainty of subjective nature (lack of sufficient information) on the dairy farm are formulated and the ways of solving these problems are given. The priority areas and projects for the development of a «smart» dairy farm are outlined. They should provide reduction in labor intensity of all operations on a farm and 2-2.5 times increase in productive longevity of cows. The technology of optimization of feeding processes on the farm leading to 1.5-2 times rise in digestibility as compared to traditional methods is introduced. A non-contact hardware and software complex of video and digital identification of udder and joint diseases in cows is shown. It should lead to decrease in mastitis disease rate in cows.

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22

Che, Yi, Yan Zhang, and Linhui Yu. "The development of farm labor market in rural China." China Agricultural Economic Review 7, no. 2 (May 5, 2015): 280–302. http://dx.doi.org/10.1108/caer-01-2014-0001.

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Purpose – The purpose of this paper is to examine key determinants of farm labor market development in rural China. Design/methodology/approach – Probit, Logit, and IV-Probit model are used to provide pertinent empirical analysis. Findings – Analysis of survey data establishes three facts about the farm labor market in rural China: first, households with high farm endowment are more likely to hire farm labor; second, because of the mismatch between farm ability and land size created by egalitarian land reallocation, households with more land reallocations are more likely to participate in farm labor market to adjust such mismatch; third, land rental market and farm labor market seem to be complementary. These results are robust to alternative model specifications, subsamples, alternative dependent variables, and additional controls. Welfare analysis demonstrates that the farm labor market is conducive to agricultural output. Originality/value – The main contribution of this study is to lay out stylized facts in terms of the development of farm labor market using a unique survey data set.

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23

Anriquez, Gustavo, and Alberto Valdes. "Determinants of Farm Revenue in Pakistan." Pakistan Development Review 45, no. 2 (June 1, 2006): 281–301. http://dx.doi.org/10.30541/v45i2pp.281-301.

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Will small farm viability decline with the reduction of average farm size in Pakistan? This paper addresses the determinants of rural household and farm-related income. Using the 2001 PIDE Household Survey, the approach developed captures the potential interactions between farm returns and household, farm, and factor market characteristics (schooling, family size, land tenure and operational size, access to water, credit, and capital). Econometric results show: (a) returns to additional schooling and the revenue elasticity of operated acres increase with farm size; (b) medium and large farm renters would be willing to pay more than observed rents, implying an incentive to increase farm size at the prevailing rental values; (c) owneroperated farms, landowners who also leases in, and fixed rental tenants earn higher revenues than sharecropping tenants. The difference, however, between landowner/fix-renter income and sharecropper income varies with family and farm size, as well as water use. While these results favour farm size increase, the results also show that off-farm and non-farm income sources are relatively more important for small farmers, contributing to their viability. JEL classification: D13, Q12, Q15 Keywords: Pakistan, Land Markets, Rural Factor Markets, Revenue Function

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24

Väre, Minna, Tiina E. A. Mattila, Pasi Rikkonen, Maria Hirvonen, and Risto H. Rautiainen. "Farmers’ perceptions of farm management practices and development plans on organic farms in Finland." Organic Agriculture 11, no. 3 (April 6, 2021): 457–67. http://dx.doi.org/10.1007/s13165-021-00352-4.

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AbstractOrganic farming is increasing in Finland, and organic farms have become larger than conventional farms, on average. As the structural change has been rapid, farmers need a broad range of new competencies to manage their farms, ranging from agronomic skills to advanced technology, labor management, and marketing skills. In this study, the characteristics of organic and conventional farms and farmers were assessed, with special focus on management practices and future development plans on organic farms. The study was based on telephone interviews of a sample of active farmers who applied for agricultural subsidies in 2014. The data consisted of 3045 farmers; 312 of them practiced organic farming and 2733 conventional farming. The data were analyzed using multivariable logistic regression. Having beef production as the main production line, having plans to develop farm production in the next 5 years, considering farm management as very important, and frequently experiencing mental strain because of farm management were significant predictors for being an organic farmer. Dairy production was less frequently organic compared to crop production. Nearly half (42%) of organic farmers planned to make changes in their farming, most commonly expanding their production. Thus, competence for managing the farm operation becomes more crucial, which increases the need for training and management consulting services. Organic farming may increase with both farm successions and new entrants joining the farming sector. Special attention should be paid to supporting these new entrants without farm-family background.

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25

Cristina, Salvioni, and Sciulli Dario. "Rural development policy in Italy: the impact of growth-oriented measures on farm outcomes." Agricultural Economics (Zemědělská ekonomika) 64, No. 3 (March 16, 2018): 115–30. http://dx.doi.org/10.17221/73/2016-agricecon.

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Growth-oriented measures of the EU’s rural development policy have been promoted to meet the aims of the Lisbon strategy. This article assesses their impact on performance-related variables of farms. We apply a conditional difference-in-differences approach to the 2003–2007 Italian FADN survey. No evidence emerges to indicate any impact of the measures on farm income, employment or partial productivities. Conversely, participation in the selected policy schemes resulted initially in a productivity increase and, subsequently, in enhanced farm performance. We argue that participation in the growth-oriented measures gave rise to a process of capital deepening that, in turn, elicited a productivity increase and, eventually, positive growth rates in farm performance. The estimated variations in capital intensity signal that the measures resulted in the activation of channels that are expected to positively affect farm performance after a time lag.

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26

Koenigstein, Kevin W., and David A. Lins. "Measuring Farm Sector Wealth and Income: Data Comparisons for Illinois Farms." Applied Economic Perspectives and Policy 12, no. 2 (July 1990): 305–18. http://dx.doi.org/10.1093/aepp/12.2.305.

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27

Bacinschi, Nicolae, Sofia Alexandru, Anna Donica, and Ina Guţu. "Directions for research and development of anti-tuberculosis drugs." Farmacist.ro 5, no. 1 (October 30, 2019): 28–36. http://dx.doi.org/10.26416/farm.190.5.2019.2632.

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The increasing incidence of new cases of tuberculosis, of latent forms and with multiple and extended resistance, required the acceleration of the research and elaboration of the anti-tuberculosis drugs by elucidating new targets. The main directions of study of the new compounds focused on the influence on the cell wall, the synthesis of proteins and nucleic acids, the energy metabolism, as well as on the immune status of the host. At the base of these strategies were the data regarding the structural components and the particularities of the life cycle of mycobacteria at different stages of disease evolution.

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28

Rossier, Ruth. "Role Models and Farm Development Options: A Comparison of Seven Swiss Farm Families." Journal of Comparative Family Studies 36, no. 3 (September 1, 2005): 399–417. http://dx.doi.org/10.3138/jcfs.36.3.399.

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29

KIDD, JEFFREY. "HOSPITALITY ON THE FARM: THE DEVELOPMENT OF A SYSTEMS MODEL OF FARM TOURISM." ASEAN Journal on Hospitality and Tourism 10, no. 1 (August 3, 2011): 17. http://dx.doi.org/10.5614/ajht.2011.10.1.02.

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30

Kirjavainen, Pirkka V., Anne M. Karvonen, Rachel I. Adams, Martin Täubel, Marjut Roponen, Pauli Tuoresmäki, Georg Loss, et al. "Farm-like indoor microbiota in non-farm homes protects children from asthma development." Nature Medicine 25, no. 7 (June 17, 2019): 1089–95. http://dx.doi.org/10.1038/s41591-019-0469-4.

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31

Le Heron, Richard. "The farm family business." Journal of Rural Studies 11, no. 2 (April 1995): 231–32. http://dx.doi.org/10.1016/0743-0167(95)90057-8.

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32

Mihailović, Branko, Ivana Radić Jean, Vesna Popović, Katica Radosavljević, Biljana Chroneos Krasavac, and Aleksandra Bradić-Martinović. "Farm Differentiation Strategies and Sustainable Regional Development." Sustainability 12, no. 17 (September 3, 2020): 7223. http://dx.doi.org/10.3390/su12177223.

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The paper examines differentiation business strategies in food production in Braničevo-Podunavlje region (Serbia). The research methodology includes survey research focused on the producers engaged in the production of value-added agricultural products, which have a greater potential for differentiation and branding. A range of survey indicators enable farmers and entrepreneurs of differentiated products to emphasize key success factors, detect barriers, and generate business ideas and innovations. Survey research was conducted in the period December 2018–January 2019, among 67 farmers, legal entities, and unincorporated enterprises−producers of high-quality niche food products in Braničevo–Podunavlje region. Results of the research indicated vegetable and fruit processing, beekeeping, and milk processing as sectors of the most promising value-added food products, including those that form the region’s basket of products. The study’s findings should contribute to the development of differentiated business models in the food sector and strengthening their role in smart regional development.

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33

Bojanic, Alan, and Frank Ellis. "Peasant Economics: Farm Households and Agrarian Development." Geographical Journal 155, no. 2 (July 1989): 269. http://dx.doi.org/10.2307/635095.

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34

Himri, Y., A. Boudghene Stambouli, and B. Draoui. "Prospects of Wind Farm Development in Algeria." American Journal of Environmental Sciences 4, no. 6 (June 1, 2008): 589–94. http://dx.doi.org/10.3844/ajessp.2008.589.594.

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35

Himri. "Prospects of Wind Farm Development in Algeria." American Journal of Environmental Sciences 4, no. 6 (June 1, 2008): 589–94. http://dx.doi.org/10.3844/ajessp.2008.589.894.

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36

Shovunova, Natalya Y. "DEVELOPMENT TRENDS OF GRAIN FARM OF RUSSIA." Economy, labor, management in agriculture, no. 5 (2020): 146–50. http://dx.doi.org/10.33938/205-146.

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37

Sukhocheva, N. A., and T. S. Kravchenko. "POSSIBILITIES OF FARM DEVELOPMENT THROUGH GRANT SUPPORT." Экономика сельского хозяйства России, no. 5 (May 2019): 36–43. http://dx.doi.org/10.32651/195-36.

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38

Huffman, Wallace. "Peasant economics: Farm households and agrarian development." Field Crops Research 40, no. 3 (March 1995): 194–95. http://dx.doi.org/10.1016/s0378-4290(95)90003-9.

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39

SATO, Shusuke. "The Development of Farm Animal Walfare Movement." Nihon Chikusan Gakkaiho 63, no. 9 (1992): 978–82. http://dx.doi.org/10.2508/chikusan.63.978.

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40

Jones, Peter, David Hillier, and Daphne Comfort. "Solar farm development in the United Kingdom." Property Management 32, no. 2 (April 14, 2014): 176–84. http://dx.doi.org/10.1108/pm-05-2013-0032.

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Purpose – Solar energy is the most abundant of all renewable energy sources and the development pressures for solar farms have grown rapidly in the last five years within the UK. With this in mind the purpose of this paper is to offer a general review of solar farm development in the UK. Design/methodology/approach – The paper begins with a description of the characteristics of solar farms, outlines the solar farm market in the UK and discusses the planning policies and issues associated with solar farm development. Findings – The paper reveals that solar farms have been developed on both agricultural land and brownfield sites and that the development pressures are greatest in the southwest and southeast of England. While national and local authority planning policies generally promote renewable energy schemes, proposals for the development of solar farms have raised a wide range of planning issues. These include impacts on land, landscape and visual amenity; ecology and nature conservation: cultural heritage and historic environment; construction traffic and highways; security; economic benefits; and potential economic and social impacts within the community. Originality/value – This paper provides an accessible review of the development of solar farms within the UK and as such it will be of value to developers, land and property professionals and students.

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41

Sa, Min-Woo, Chang-Hee Lee, Seung-Hyeok Choi, Chan Won Kim, Hyun Gil Cho, and Jong Young Kim. "Development of Rotary Cultivator for Poultry Farm." Korean Society of Manufacturing Process Engineers 17, no. 2 (April 30, 2018): 60–67. http://dx.doi.org/10.14775/ksmpe.2018.17.2.060.

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42

Ko Itoh, H. Aihara, T. Higuchi, R. Itoh, M. Iwasaki, H. Kakuno, M. Nakao, and S. Y. Suzuki. "Development of event building farm for SuperKEKB." IEEE Transactions on Nuclear Science 53, no. 1 (February 2006): 293–96. http://dx.doi.org/10.1109/tns.2006.869829.

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43

Himri, Y., A. Boudghene Stambouli, and B. Draoui. "Prospects of wind farm development in Algeria." Desalination 239, no. 1-3 (April 2009): 130–38. http://dx.doi.org/10.1016/j.desal.2008.03.013.

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44

Pool, R. "Scaling new heights [offshore wind farm development]." Power Engineer 19, no. 5 (2005): 20. http://dx.doi.org/10.1049/pe:20050504.

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45

Putterman, Louis. "Peasant economics: Farm households and agrarian development." Journal of Comparative Economics 14, no. 1 (March 1990): 140–41. http://dx.doi.org/10.1016/0147-5967(90)90093-o.

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46

Lamp, C., T. McMurdo, C. Ganthavorn, L. Farfan-Ramirez, and L. Kaiser. "Development of Farm-to-WIC Extension Program." Journal of the American Dietetic Association 111, no. 9 (September 2011): A52. http://dx.doi.org/10.1016/j.jada.2011.06.186.

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47

DAVIDSON, D., M. FAIRLIE, and A. STUART. "Development of a hydrogen-fuelled farm tractor." International Journal of Hydrogen Energy 11, no. 1 (1986): 39–42. http://dx.doi.org/10.1016/0360-3199(86)90107-2.

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48

van der Snoek, L. "Development and validation of wind farm models." Journal of Wind Engineering and Industrial Aerodynamics 27, no. 1-3 (January 1988): 225–36. http://dx.doi.org/10.1016/0167-6105(88)90038-4.

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49

Thornton, P. K. "Peasant economics: Farm households and agrarian development." Agricultural Systems 29, no. 1 (1989): 94–95. http://dx.doi.org/10.1016/0308-521x(89)90075-9.

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50

Ray, Sunil. "Sustainable development through the development of the non‐farm sector." Capitalism Nature Socialism 4, no. 3 (September 1993): 61–67. http://dx.doi.org/10.1080/10455759309358555.

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