Dissertations / Theses on the topic 'Marginal farmers'
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Banerjee, Soma. "Investigations on the potentialities of crop-livestock-fish integrated farming system for the marginal farmers in terai region of West Bengal." Thesis, University of North Bengal, 2013. http://hdl.handle.net/123456789/1453.
Full textDesai, Bina. "Local brokers : knowledge, trust and organisation in the practice of agricultural extension for small and marginal farmers in Rajasthan, India." Thesis, SOAS, University of London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.416035.
Full textRigg, Jonathan. "The problems of agricultural intensification in a marginal rainfed environment : a study of farmers' practices and government policies in two villages in northeastern Thailand." Thesis, SOAS, University of London, 1985. http://eprints.soas.ac.uk/29192/.
Full textBocqueho, Géraldine. "Risque, temps et adoption des cultures pérennes énergétiques : exemple du cas français." Phd thesis, AgroParisTech, 2012. http://pastel.archives-ouvertes.fr/pastel-00966877.
Full textWu, Bin. "Rural sustainability in China's marginal areas : a study of farmer self-organising innovation in Zhidan County of the Loess Plateau." Thesis, University of Hull, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322569.
Full textParis, Thelma Romero. "Bringing women from the margin to the mainstream of rice research and technology development : strategies and lessons learned /." View thesis View thesis, 2000. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030424.101632/index.html.
Full textEkong, Olabisi Aderonke. "Profitability, farmer and farm characteristics: the case of Ghana broiler chicken industry in 2015." Thesis, Kansas State University, 2018. http://hdl.handle.net/2097/38610.
Full textDepartment of Agricultural Economics
Vincent R. Amanor-Boadu
This study assessed the farm and farmer characteristics influencing the profitability of broiler chicken farms in Ghana. It used data obtained from the 2015 census of the poultry industry conducted by USAID-METSS in collaboration with Ghana's Ministry of Food and Agriculture and the Ghana National Association of Poultry Farmers. Results show that broiler production in Ghana is operated on a small scale basis with an average number of 1,410 birds. Broiler chicken production is profitable in Ghana with national average gross margin/bird of GHS 9.22 and standard deviation of 8.40. Regression analysis was carried out using Ordinary Least Square method to estimate the effect of farm and farmer characteristics on profitability and also explore regional differences. Results shows that farm income and feed were negative and statistically significant such that a farmer with primary income from broiler chicken production had a decrease in gross margin of GHS 1.24 per bird compared to a farmer with other sources of income; a farmer that increases one unit of own feed production will have a decrease in gross margin of GHS 0.06 per bird. Additionally, regional differences exist such that farms situated in Ashanti, Central, and Eastern had higher gross margin per bird of GHS 3.21, GHS 6.10 and GHS 6.26 respectively compared to farms situated in Brong Ahafo Region. In conclusion, the study shows that both farmer (primary source of income) and farm characteristics (such as regional location and the extent to which feed was prepared on the farm) were important in explaining broiler chicken profitability. Finally, continuous research is recommended to examine the robustness of these factors in explaining profitability.
Paris, Thelma Romero. "Bringing women from the margin to the mainstream of rice research and technology development : strategies and lessons learned." Thesis, View thesis View thesis, 2000. http://handle.uws.edu.au:8081/1959.7/455.
Full textTaylor, John P. "Land use change and sub-optimal production on marginal part-time farms : the case of N.W. Scotland, 1947-79." Thesis, University of Aberdeen, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.330091.
Full textParis, Thelma Romero, of Western Sydney Hawkesbury University, and Faculty of Social Inquiry. "Bringing women from the margin to the mainstream of rice research and technology development : strategies and lessons learned." THESIS_FSI_SEL_Paris_T.xml, 2000. http://handle.uws.edu.au:8081/1959.7/455.
Full textDoctor of Philosophy (PhD)
SARAIVA, Felipe Oliveira Silva. "Técnicas de inteligência artificial aplicadas na análise de mercados elétricos com inserção de geração eólica e de sistemas de armazenamento de energia nas redes elétricas de potência." Universidade Federal do Maranhão, 2017. http://tedebc.ufma.br:8080/jspui/handle/tede/1774.
Full textMade available in DSpace on 2017-08-02T11:31:43Z (GMT). No. of bitstreams: 1 Felipe Oliveira.pdf: 3179442 bytes, checksum: 0988804a0a58c2aaf337ea2f5034dc42 (MD5) Previous issue date: 2017-02-17
The locational marginal prices (LMPs) are essential financial guidelines for the electricity industry, which orientates most of the projects and deliberations in electrical market environments. In current scenario of the electricity markets, wind power plants and energy storage systems have been revealing itself as feasible and relevant electrical energy supply alternatives. In this work a generic methodology based on artificial intelligence (AI) techniques is formulated and applied to the calculation and decomposition of LMPs of electric power systems (EPS) with the insertion of energy storage systems and wind farms. In the proposed AI-based methodology the optimal power flow (OPF) model, on which the calculation and decomposition of LMP is based, considers the wind behavior profile volatility, the risks of wind power levels previously scheduled, and the energy storage systems operative peculiarities. The proposed AI-based methodology takes into account the mathematical and computational models of the particle swarm optimization (PSO) algorithm. This proposal was properly implemented and applied for the computation and decomposition of LMPs of test systems and considering different operative scenarios involving conventional power plants, wind farms, and energy storage systems.
Os preços marginais locacionais (LMPs – Locational Marginal Prices) consistem em diretrizes financeiras mercadologicamente indispensáveis para a indústria da eletricidade, os quais norteiam grande parte dos projetos e deliberações no âmbito dos mercados elétricos. No panorama vigente dos mercados elétricos, as plantas de geração eólica e os sistemas de armazenamento de energia vêm progressiva e ininterruptamente se revelando alternativas de suprimento de eletricidade cada vez mais relevantes e viáveis. Neste trabalho, é formulada uma metodologia genérica baseada em técnicas de inteligência artificial (IA) cuja aplicação tem o objetivo de computar e decompor os LMPs associados às barras constituintes de um sistema elétrico de potência (SEP) integrado por geradores convencionais, plantas de geração eólica e por sistemas de armazenamento de energia. Na metodologia IA proposta, o modelo de fluxo de potência ótimo (FPO) sobre o qual se alicerça o cômputo e a decomposição dos LMPs associados às barras de um SEP, leva em consideração a volatilidade inerente ao perfil comportamental dos ventos, os riscos associados à assunção de níveis previamente programados de potência proveniente da geração eólica e as peculiaridades operativas concernentes aos sistemas de armazenamento de energia. Adotando-se os modelos matemáticos e computacionais dos algoritmos de otimização por enxame de partículas (PSO – Particle Swarm Optimization), a metodologia IA proposta foi devidamente implementada e aplicada na aquisição e decomposição dos LMPs associados às barras constituintes de sistemas-testes submetidos a diferentes cenários operativos envolvendo centrais de geração convencionais, plantas de geração eólica e sistemas de armazenamento de energia.
ZINNANTI, Cinzia. "DEALING WITH RISK IN AGRICULTURE: A CROP LEVEL ANALYSIS AND MANAGEMENT PROPOSAL FOR ITALIAN FARMS." Doctoral thesis, Università degli Studi di Palermo, 2020. http://hdl.handle.net/10447/395466.
Full textSuchánek, Pavel. "Farmers’ willingness to plant trees on marginal agricultural land in Canada’s grain belt." Thesis, 2001. http://hdl.handle.net/2429/11878.
Full textChowdaiah, C. "Agricultural development and its impact on small and marginal farmers - A case study of Mysore district." Thesis, 1994. http://hdl.handle.net/2009/1941.
Full textSingh, Ram Avadh. "An enquiry into the economics of employment and earnings of agricultural labourers and marginal farmers in District, Varanasi(U.P)." Thesis, 1986. http://hdl.handle.net/2009/5029.
Full textMutai, Benjamin K. "The impact of institutional credit for small and marginal farmers on agricultural development: The relevance of India’s experience to Kenya." Thesis, 2000. http://hdl.handle.net/2009/1940.
Full textRomero-Leon, Katia. "Diversification of marginal coffee farms in Veracruz, Mexico an analysis of socio-economic characteristics of small-scale farms in Zozocolco /." 2007. http://purl.galileo.usg.edu/uga%5Fetd/romero-leon%5Fkatia%5F200705%5Fms.
Full textMampane, Moshoene Samuel. "Cross margin analysis and perception of smallholder cattle farmers using arc's cattle infrastructural facility scheme in Fetakgomo Municipality, Sekhukhune District of Limpopo Province." Thesis, 2019. http://hdl.handle.net/10386/2927.
Full textCattle herd productivity in the smallholder sector is generally low in South Africa (Mapiye et al., 2009) with cattle off-take rates being as low as 15% per annum (ARC, 2016). Among the leading causes of reduced productivity in smallholder herds is cattle mortality caused by diseases and parasites, especially ticks (Hesterberg et al., 2007). Ticks and the diseases they transmit have been identified as the major cause of widespread morbidity and mortality in cattle kept by smallholder farmers in the semi-arid areas of South Africa (Dold and Cocks, 2001; Mapiye et al., 2009) which results in poor animal welfare. Access to animal health infrastructure and technology can help reduce the problem of cattle diseases. The study was conducted to examine the impact of ARC’s Infrastructural Facility Scheme on the profitability of cattle farming and perceptions of smallholder cattle farmers. The study had four objectives; (i) to identify and describe the socio-economic characteristics of smallholder cattle farmers in Fetakgomo Municipality and Makhuduthamaga Municipality; (ii) to assess the perception of smallholder cattle farmers on the facilities provided by ARC in the study area; (iii) to determine and analyse the profitability of smallholder cattle farmers in the study area and (iv) to assess the effect of cattle farmers’ socio-economic characteristics on cattle farming profitability in the area. A total of 224 smallholder cattle farmers were interviewed, of which 124 farmers were beneficiaries and 100 were non-beneficiaries. The Purposive Sampling procedure was employed to determine the desired sample size in both the two Municipalities. The results showed that 55% of the smallholder cattle farmers were beneficiaries and 45% of the smallholder cattle farmers were non-beneficiaries out of the sample size. There were more male-headed households of the beneficiaries and more female-headed households of the non-beneficiaries. An analysis of the farmers’ socio-economic characteristics further showed that the majority of the smallholder cattle farmers prefer using family labourers or household labourers in their cattle farming. The results depict that beneficiaries of the Animal Health Wise Project used 76.2% of the family labour and 23.8% of hired labourers for beneficiaries whereas for the non-beneficiaries, it was v 68.7% of the family labour and 31.3% of hired labour. Using family labour helped in minimising costs of labour. Farmers were asked a set of Likert type scale questions about their perceptions on the project. The perception index score revealed that the smallholder cattle farmers had a negative perception of it as the index score was skewed to the left with the value being 0.428. Profitability was measured through Gross Margin Analysis. The Gross Margin Analysis revealed that the mean value of the total revenue and gross margin for the beneficiaries were bigger than non-participants. This was because beneficiaries tend to sell their cattle at a higher price compared to the non-participants. Furthermore, smallholder cattle farmers that are beneficiaries tend to use the infrastructure and through that, their cattle productivity is higher resulting in higher gross margin and total revenue compared to the non-participants. The Multiple Linear Regression Model was used to assess the effect of cattle farmers’ socio-economic characteristic on the gross margin of the farmers in the study area. The results revealed that only 3 variables were significant. The total herd size, project participation and access to the market were significant at 1% and all had a positive effect towards the gross margin. The study suggested that there should be more infrastructural facilities that are built in other municipalities. By so doing, smallholder cattle farmers will use the facilities to improve their herd productivity and also improve their cattle’s health status. It was also recommended that there should be some training based on the use of the cattle infrastructural facilities scheme so that farmers can use the facilities effectively. Key words: Smallholder Cattle Farmers, Perception, Animal Health Wise Project, Infrastructural Facilities.
Center of Collaboration on “Economics of Agricultural Research and Development”
Birnbaum, Ken. "Gardens in the margins how small export farmers in Costa Rica use non-traditional home gardens to buffer the economic hardships of coffee price declines /." 1993. http://catalog.hathitrust.org/api/volumes/oclc/29718085.html.
Full textTypescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 63-67).
Maas, Bea. "Birds, bats and arthropods in tropical agroforestry landscapes: Functional diversity, multitrophic interactions and crop yield." Doctoral thesis, 2013. http://hdl.handle.net/11858/00-1735-0000-0022-5E77-5.
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