Relevant bibliographies by topics / Agriculture Kenya

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Agriculture Kenya'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Agriculture Kenya.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Agriculture Kenya"

1

Kathula, Domeniter Naomi. "Factors Impacting Agricultural Production and the Role of Agricultural Extension Services in Kenya." Journal of Agriculture 7, no. 1 (January 17, 2023): 22–44. http://dx.doi.org/10.53819/81018102t4115.

Full text
Abstract:
Productivity in agricultural is also important for spurring economic growth in other sectors. Farmers live in remote rural areas and make up 75% of the world’s poor. In Sub-Sahara Africa (SSA), productivity in agriculture lags behind globally, and is below the required standards of achieving food security, poverty goals and food sufficiency. As an important sector in the Kenyan economy, agriculture continues to dominate other sectors despite its declining contribution to real GDP. The development in agriculture is that one which revolutionizes the industry by bringing forth profitable agriculture and environment friendly solutions. Kenya government through the Ministry of Agriculture and Livestock, have in the past tried to pass information to the farmers via agricultural extension officers. However, the quality of the information disseminated to the farmers has not been up to date, information delivery has not been good, the mode of communication also questionable owing to literacy levels of our farmers and indeed that of the extension officers, information technology has not been embraced fully making it difficult for our farmers to progress with their counterparts in other parts of the world. This study was conducted with the aim of determining the factors impacting agricultural production and the role of agricultural extension services in Kenya. This study is anchored on Diffusion of Innovations Theory. The study employed a mixed design involving a combination of both quantitative and qualitative approach. And the target population was made up of farmers, officers from the ministry of agriculture and officers from agricultural extension service providers. Data was gathered using both structured questionnaire and interview guides. The collected data was analysed with the aid of SPSS software using both descriptive and inferential statistics. The findings revealed a coefficient of determination (R squared) of 0.319 implying that agricultural extension services explains 31.9 % of the variation in agricultural production in Kenya. The study also showed a positive and statistically significant relationship between agricultural extension services and agricultural production in Kenya (β=1.561, p=.003<.05). The study concludes that agricultural extension services play a significant role in improving agricultural production in Kenya because agricultural extension services offers technical advice on agriculture to farmers. It is thus recommended that agricultural extension service delivery should be boosted through timely recruitment, periodic training of agents and provision of adequate logistics to the farmers. Keywords: Agricultural extension services, agricultural factors, agricultural production, farmers in Kenya
APA, Harvard, Vancouver, ISO, and other styles
2

KASHINDI, George. "Local agricultural production in Kenya: legal framework, obstacles and challenges." KAS African Law Study Library - Librairie Africaine d’Etudes Juridiques 7, no. 4 (2020): 581–93. http://dx.doi.org/10.5771/2363-6262-2020-4-581.

Full text
Abstract:
Agriculture sector in Kenya is the fundamental part of the economy contributing 25 percent of the total Gross Domestic Product (GDP), and another 27 percent indirectly.1 The sector employs over 40 percent of the total population and over 70 percent of the rural people. In Kenya, the agricultural sector is large and complex, with a multitude of public corporations, non-governmental and private actors. It accounts for 65 percent of the export earnings and provides livelihood (employment, income, and food security needs) for more than 80 percent of the Kenyan population.2 As with any system the agricultural sector in Kenya is governed by extensive regulatory framework that provides guidance to the whole system. These include policies, laws and regulations. The sector is regulated broadly by the Constitution of Kenya as well as regional and international instruments. The biggest challenge, however, is how effectively these regulatory instruments are implemented.3 The good performance the agricultural sector ensures good performance of the entire economy. Therefore the policy and institutional frameworks governing the agricultural sector play a vital role for the development of the whole economy.4 As a result, since 2003, there been much activity in an attempt to revitalize Kenyan agriculture and this has been undertaken through a number of regulatory and institutional reforms as will be seen from the analysis of the legal framework below.
APA, Harvard, Vancouver, ISO, and other styles
3

Ngala, Orucho Michael. "Youth Participation in Agricultural Cooperatives, Post Covid-19 Strategies: A Case of Machakos Coffee Co-operative Societies, Kenya." Archives of Business Research 10, no. 11 (November 25, 2022): 166–73. http://dx.doi.org/10.14738/abr.1011.13408.

Full text
Abstract:
Kenya is a country that is mainly dependent on the agriculture sector for livelihood. Smallholder farmers through Coffee Cooperative Societies play a central role in socio-economic development, particularly in agricultural production, processing, and marketing. The vibrant and dynamic cooperative movement enhances food security, wealth creation, and poverty eradication. FAO report indicates that youths in Kenya are a critical component of the productive population and their input can be harnessed to enhance economic development. However, Kenyan youth has not actively embraced agriculture, due to the involvement of manual labour and poor returns. This study sought to establish factors affecting youth participation in coffee cooperative societies in Machakos County, Kenya. Eighty (80) youth from the eight (8) coffee cooperative societies working under Sustainability Kenya Limited Networks -AGRIFI Project in Machakos County were involved in the study. Focus group discussion (FGD) was adopted to gather in-depth data. Older men’s domineering culture, lack of succession planning, resource allocation challenges, and a negative attitude that associates agriculture with the elderly, the poor, the illiterate, and rural folks, were identified as the main factors impeding active participation of the youth in coffee cooperative societies. The study observes that covid-19 has shaken the whole world, setting in motion unavoidable waves of change, with a wide range of uncertain trajectories in the future. The whole world has moved drastically toward online channels to cope with pandemic challenges. The study strongly recommends deliberate attempts to incorporate technology into agriculture as a strategy of motivating the youth to engage in agriculture and associated cooperatives, thereby increasing agricultural production. Young people easily embrace new ideas, experiment with new practices, and are often devoid of technophobia. They are a potential vital force for innovation in cooperative societies and can contribute immensely to the well-being of farmers, families, and to the local communities.
APA, Harvard, Vancouver, ISO, and other styles
4

Memon, Pyar Ali, and Diana Lee-Smith. "Urban Agriculture in Kenya." Canadian Journal of African Studies / Revue Canadienne des Études Africaines 27, no. 1 (1993): 25. http://dx.doi.org/10.2307/485438.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Memon, Pyar Ali, and Diana Lee-Smith. "Urban Agriculture in Kenya." Canadian Journal of African Studies / Revue canadienne des études africaines 27, no. 1 (January 1993): 25–42. http://dx.doi.org/10.1080/00083968.1993.10804310.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Njura, Hellen Joseph, Kaberia Isaac Kubai, Simon Thuranira Taaliu, and Kakai Shem Khakame. "The Relationship between Agricultural Teaching Approaches and Food Security in Kenya." Education Research International 2020 (July 11, 2020): 1–18. http://dx.doi.org/10.1155/2020/8847864.

Full text
Abstract:
The continued food insecurity, despite the teaching of agriculture amidst the novel coronavirus (Covid-19), is a major global concern especially in Africa. There is food shortage in Africa and Kenya in particular despite the teaching of agriculture as a major subject in secondary schools. Many youth who have graduated from Kenyan secondary schools cannot adequately employ the agricultural skills developed during and after school for food security. The teaching approaches employed in secondary school agriculture should be able to develop skills of students on the aspects of food production, its accessibility, food safety, and nutrition as well as production economics. Towards this direction, this paper investigates the relationship between the agricultural teaching approaches employed in secondary schools and food security in Kenya. The study adopted descriptive survey design where data were collected using an Agriculture Teachers’ Interview Schedule, a Students’ Focus Group Discussion Guide, and a Parent’s Questionnaire and were then analyzed using descriptive and inferential statistics. The research findings established that the lecture method, class discussions, class projects, problem solving, and tours and field trips were the common methods in agriculture classes. Though recommended in the literature review section, digital learning was hardly mentioned as a teaching approach for this study. A major conclusion for this study is that there is statistically insignificant relationship between the teaching approaches and food security. There are other factors not in the scope of this study that could be affecting food security and can be tackled at secondary school level. This paper makes a contribution to the growing body of knowledge by highlighting research gaps worth investigation on the relationship between the agricultural teaching approaches and food security that were beyond the scope of the study.
APA, Harvard, Vancouver, ISO, and other styles
7

Shibanda, Gundu. "Information for agriculture in Kenya." Information Development 7, no. 3 (July 1991): 141–46. http://dx.doi.org/10.1177/026666699100700307.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Muasa, Lilian, and Hirotaka Matsuda. "Mobile Based Agriculture and Climate Services Impact on Farming Households in Rural Kenya." Journal of Sustainable Development 12, no. 2 (March 30, 2019): 1. http://dx.doi.org/10.5539/jsd.v12n2p1.

Full text
Abstract:
Rural farming households in semi-arid regions in Kenya are vulnerable to climate change impacts due to overreliance on rain fed agriculture and low adaptive capacity. Farming households&rsquo; adaptive capacity development is detrimental to enable them cope with short and long term impacts. Information Communication and Technology (ICTS) play an essential role in adaptive capacity development by ensuring access to information and knowledge related to agriculture and climate. The mobile phone is one of dominant ICT tool with wider ownership and promising technology for information accessibility. The increasing mobile penetration rate in Kenya has initiated the development of a wide range of agricultural related mobile phone services and applications targeting rural households to increase their agricultural productivity and strengthen their adaptive capacity in the face of climate change. This study examines households use and benefit from the developed mobile phone services and applications to access information related to agriculture and climate change. Using data of 120 households&rsquo; multinomial probit analysis is applied to identify factors that determine the adoption of the mobile phone. Findings reveled that through developed mobile phone services and applications, Kenyan rural households are able to access; mobile money banking, extension services, obtain credit, agriculture information, weather information and market information. Access to these services increases household capacity and reduce information asymmetry. Feature phone and smart phones are the types of mobile phone used across households. Multinomial probit analysis elicits that probability of feature phone adoption increases with a decrease in household income while that of smart phone increases on male headed households, increases with an increase in household income and accessibility to credit.
APA, Harvard, Vancouver, ISO, and other styles
9

IRERI, Daisy Mbucu, Mzee AWUOR, and James OGALO. "E-agriculture Framework for Improving Agricultural Productivity among the Smallholder Farmers in Rural Kenya." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Agriculture 78, no. 2 (November 15, 2021): 17. http://dx.doi.org/10.15835/buasvmcn-agr:2021.0006.

Full text
Abstract:
The economy of Kenya depends mainly on agriculture where smallholder farming has a significant role as it employs 65 percent of the work force and contributes 32 percent of Kenya’s GDP. However, the agricultural industry in Kenya is currently facing difficulties in low productivity. The rural areas have the largest concentration of poverty and food insecurity. Majority of the farming activities in Kenya are on small scale and the problems of these farmers are multifaceted including sub-divisions and small farm sizes, leading to diseconomies of scale and low productivity. The goal of this research was to develop and validate an E-agriculture Framework for Improving Agricultural Productivity among the Smallholder Farmers. Descriptive research design was used. The study was carried out in South Eastern Kenya. The target population comprised 224 meteorological staff, 421 agricultural extension officers, 208 ICT personnel and 3,833 farmers. Data was collected using self-administered questionnaires, observation and interviews and analyzed using SPSS. The study found that challenges faced farmers were cost, illiteracy and ICT skills among others. Further, the study established that farmers required specific information such as soil management, pest management etc., for mainly improving their productivity. The researcher proposed an e-agriculture framework for improving agricultural productivity through promoting innovative use of ICT tools to bridge the distance between the farmers and the research communities. The proposed e-framework could be used by government policy makers and stakeholders on ICT on agricultural services in other developing countries to implement policies that speeded up the use of ICT on agricultural information.
APA, Harvard, Vancouver, ISO, and other styles
10

Lado, Cleophas. "Informal urban agriculture in Nairobi, Kenya." Land Use Policy 7, no. 3 (July 1990): 257–66. http://dx.doi.org/10.1016/0264-8377(90)90039-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Agriculture Kenya"

1

Abagi, Jared O. (Jared Okwach). "Primary schooling and agricultural education in Kenya : can principles of "modern" agriculture be taught effectively in schools?" Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74546.

Full text
Abstract:
This study explored the teaching of agriculture in Kenya's primary schools. It sought in particular to determine how the principles of "modern" agriculture may be taught effectively.
Previous studies on education and agricultural productivity have ignored the mechanisms through which schooling affects the acquisition of agricultural knowledge and skills. This study attempted to bridge this gap. To do so field work was carried out in four schools and their catchment areas in Kiambu and Kwale districts of Kenya. The data stemmed from field notes, tape recorded lesson transcripts, interviews and questionnaires as well as an exhaustive review of prior studies and government documents.
The findings indicate that the schools offer possibilities for effective teaching of the principles of "modern" agriculture. However, whether or not the school will play this role well or poorly depends largely on the improvement in general of the quality of primary schooling. This task involves increasing school resources, modification of the agricultural curriculum, improvement of teacher training, change in teaching methods and assessment policies.
APA, Harvard, Vancouver, ISO, and other styles
2

Andersson, Pär. "Sustainable Agriculture Modernization, Orongo Village, Western Kenya." Thesis, Linnéuniversitetet, Institutionen för naturvetenskap, NV, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-9524.

Full text
Abstract:
Today more than 200 million people are suffering from malnutrition in Africa, a major contributing factor to this is that Africa is the continent, by a large margin, that gets least yield per cultivated hectare. The relatively poor yield is not because Africa has no cultivable land but because of the prevailing agricultural practices. Orongo is a village in western Kenya, where large parts of agriculture are threatened by severe soil erosion problems and two-thirds of the inhabitants are totally dependent on agriculture for food and economic security. Today's agricultural practices have proved inadequate. Organic agriculture is not dependent on high-tech methods or expensive synthetic chemicals to provide a relatively good harvest and has therefore proved to have particularly good potential to increase the harvest of small-scale farmers living under poor circumstances. Organic agriculture relies entirely on natural processes that exist to increase soil fertility. The strengthening of these natural processes is the most important work in Organic agriculture with many long-lasting positive effects and a constant increase of soil fertility as a result. All the different components of organic agriculture have the potential to independently contribute to the desired development, decreased soil erosion and increased resistance of the local ecosystem are common consequences of organic agriculture components. There are many indications that Organic agriculture could provide a sustainable solution to the malnutrition problem in Orongo but to implement such modernization has globally proven difficult. The various components must all be adapted to the local biophysical circumstances, the local need and knowledge level of the farmers concerned. This document describes and analyzes these components from an Orongo perspective and looks at local cultural phenomena that must be considered. For a modernization to organic agriculture to be possible, a combined effort will be necessary, both to raise awareness of Organic agriculture through physical demonstration and classical learning but also provide economic security and incentives for farmers who want to change to Organic agriculture. It is also important to encourage entrepreneurship forces that can help to spread the different components of organic agriculture, components that on their own can contribute to a desired development.
APA, Harvard, Vancouver, ISO, and other styles
3

Murungi, Kellen. "Interest Rate Ceilings and Agriculture Financing in Kenya." Master's thesis, Faculty of Commerce, 2021. http://hdl.handle.net/11427/33891.

Full text
Abstract:
The agriculture sector in Kenya contributes about 34% of the GDP and is a major employer both formally and informally. The sector has historically experienced challenges in accessing commercial financing, with banks committing less than 5% of their portfolio to agriculture, which has limited the sector's growth. In August 2016, the Kenyan government introduced interest rate ceilings in a bid to reduce the cost of borrowing, thereby releasing more capital to all enterprises, including those in the agricultural sector. This study sought to examine the effect of these interest rate ceilings on the growth in lending to the agricultural sector in Kenya. The study estimated a panel multiple regression model for 26 commercial banks, spanning a 5-year period between 2014 and 2018. The analysis revealed that the amount of credit supply to the agricultural sector increased following the imposition of interest rate ceilings. The findings from the panel regression analysis confirmed that variations in the amount of loans to the agricultural sector were affected by the imposition of interest ceilings. The finding held after controlling for bank-specific characteristics, such as firm size, equity, asset quality, liquidity and interest spread, suggesting that interest rate ceilings, if prudently applied, could lead to increased access to credit for the agricultural sector. However, the subsequent reversal of the interest rate capping law demonstrated that this is a blunt tool for enabling access to credit not only because of its ineffectiveness but due to the fact that it is prone to politicisation. This study, therefore, recommends that the government creates a favourable policy environment that enhances competition and information sharing in the banking sector which will lead to lower costs of credit. If they are deemed necessary, interest rate caps should be selectively used to enhance lending only to sectors where there is sufficient empirical evidence of their effectiveness.
APA, Harvard, Vancouver, ISO, and other styles
4

Njuguna, Jackson G. M. "Epidemiology of Maize Streak Disease in Kenya /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487932351058174.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Akinboade, Oludele. "Agriculture, income distribution and policy in Kenya : a SAM based general equilibrium analysis." Thesis, University of Oxford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670311.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ekbom, Anders. "Economic analysis of soil capital, land use and agricultural production in Kenya." Göteborg : Department of Economics, School of Business, Economics and Law, Göteborg University, 2007. http://hdl.handle.net/2077/8469.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Makana, Nicholas Ekutu. "Changing patterns of indigenous economic systems agrarian change and rural transformation in Bungoma District 1930-1960 /." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4464.

Full text
Abstract:
Thesis (Ph. D.)--West Virginia University, 2006.
Title from document title page. Document formatted into pages; contains xiii, 360 p. : map. Includes abstract. Includes bibliographical references (p. 351-360).
APA, Harvard, Vancouver, ISO, and other styles
8

David, Cailean. "Community, Crowdsourcing, and Commerce: WhatsApp Groups for Agriculture in Kenya." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41530.

Full text
Abstract:
WhatsApp’s growing presence in the developing world has led to a grassroots movement of messaging groups designed to serve relevant needs for small scale farmers in Kenya. These groups provide the means for as many as 256 members to ask questions, share experiences and solutions, gain access to information, and access markets for their products. This research project examines the use of these WhatsApp groups for agriculture in Kenya. The project seeks to understand the existing barriers to participation, and the use, benefits, and shortcomings of these groups for their members. Research findings indicated that farmers’ overall access to smart phones is a substantial barrier to their participation in groups for agriculture, and these barriers are expectedly more difficult for the poorest and most vulnerable (in which intersectional poverty creates additional barriers). However, while each group can vary significantly, members report that WhatsApp groups as a whole overwhelmingly benefit their livelihoods and practice. Systemic and societal change occurs when the experiences and successes of one individual are shared with a larger group – leading to rapid and shared prosperity. As each individual learns a new skill, technique, or input, the group must also learn and benefit from that knowledge. WhatsApp provides the means and the platform for this type of information exchange to occur at scale, and with individuals who would otherwise be unlikely to communicate. This research project examines the emerging use of grassroots WhatsApp groups as a potential example of this positive and inclusive approach to extension and development in agricultural communities.
APA, Harvard, Vancouver, ISO, and other styles
9

Kinyanjui, Felistus Kinuna. "Causes of persistent rural poverty in Thika district of Kenya, c.1953-2000." Thesis, Rhodes University, 2007. http://eprints.ru.ac.za/898/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Mbwika, James M. "Kenya smallholder farmer education and farm productivity." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29578.

Full text
Abstract:
This research was undertaken to study the effect of education on small farm revenues and profits in Kenya. Schooling (defined as the number of school standards completed by the farm operator) was used as the most important source of education. It was hypothesized that schooling has a positive effect on farm revenues and profits. The effect of other sources of information viz; extension contact, demonstration attendance and baraza attendance on farm revenues and profits were also investigated. The research was done using regression analysis where these variables and other farm activity relevant variables were fitted in regression equations. The choice of these variables were based on economic theory, Kenya small farm characteristics and the objective of the study. Several factors would qualify as supporting evidence for the argument that educated farmers are more productive. We expect educated farmers to be more informed in terms of use of new production technologies. Education as a source of human capital also enhances the productive abilities of human beings and also enables those who have invested in education to use their resources more efficiently as well as adjusting to new "ways of producing more efficiently". In the current study we find that schooling of the farm operator is positively related to level of expenditure on farm purchased variable inputs. This indicates that education enhances adoption of new technologies and innovativeness. Further it was shown that farmers with more education earned more value added per acre from their farm business compared to their less educated counterparts. On the overall farm activity, farmers with eight or more standards of schooling earned upto 80.2% in value added per acre compared to those who had no schooling. The regression estimates were done on a stepwise procedure where farm specific enterprises were estimated separately and then aggregated and estimated as one farm sector. Thus a crop equation, a livestock equation and a total farm output equation were estimated. This model was then developed into a variable profit function. A simple linear function procedure was used in the regression analysis. In all the estimated value added equations the schooling coefficient was positive and significant at 5% level two tail t-test. As we move from farm specific activities to a farm aggregate output model and lastly to value added model the schooling coefficient increased in size confirming the positive role of education in allocative effect. These results show that schooling plays an important role in allocation of other purchased inputs and also choice of crop mix and input selection. The estimated marginal return to schooling of farm operator in the profit function was Kshs.281. In an earlier function where schooling of the farm operator was fitted into a total farm income equation the estimated marginal return to schooling was Kshs.778.89. When schooling of the farm operator is allowed to interact with extension service the estimated interaction variable coefficient is negative showing the two act as substitute sources of knowledge, and the schooling coefficient increased in size showing that those who had both schooling and extension service earned comparatively more farm revenues. The role of other educative factors like extension service, demonstration attendance, and baraza attendance in influencing agricultural production was investigated. Regression results showed that extension contact had a negative and significant effect on farm revenues and profits. Demonstration and baraza attendance had similar effects on farm revenues and profits. In the value added function hired labour variable was fitted as the cost of hired labour per day. The estimated coefficient for this variable was positive and significant at 5%. The estimated coefficient for this variable shows hired labour is not optimally used, and farmers can increase their farm profits by hiring more labour. When this variable was fitted as the wage rate paid to hired labour per day the estimated coefficient was positive and significant. These results indicate that cost of hired labour depends on its quality. In the sales function hired labour was specified as mandays of hired labour per year and the estimated coefficient which reflects the shadow price of labour was higher than average hired labour wage rate implying that this factor is underemployed. In the sales function the estimated coefficient for the value of purchased inputs variable indicates that there is an element of underutilization of these inputs. This variable is fitted in value terms and in profit maximizing conditions the estimated coefficient is expected to be no different from unit. However, the estimated coefficient for this variable is approximately 2.5 showing a shilling spent on purchased inputs will bring forth 2.5 shillings. Thus an increase in the use of purchased inputs will increase farm revenues. Results show evidence of regional differences in farmer productivity and utilization of purchased inputs in favour of Central province. The study is based on the 1982 CBS-IDS-World Bank Household Survey of Rural Kenya data set.
Land and Food Systems, Faculty of
Graduate
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Agriculture Kenya"

1

Shikwati, James. Agricultural investment in eastern Kenya. Nairobi, Kenya: Inter Region Economic Network, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Foeken, D. Urban farmers in Nakuru, Kenya. [Nairobi] Kenya: Centre for Urban Research, University of Nairobi, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Livingstone, Ian. Rural development, employment, and incomes in Kenya. Aldershot, Hants: Gower, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Talbott, I. D. Agricultural innovation in colonial Africa: Kenya and the great depression. Lewiston: E. Mellen Press, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Jobs and Skills Programme for Africa., ed. Rural development, employment and incomes in Kenya. Aldershot: Gower, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Agriculture, Kenya Ministry of. The ministry at a glance. Nairobi: Ministry of Agriculture, Office of the Permanent Secretary, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Achola, Milka A. A history of the Agricultural Society of Kenya. Nairobi, Kenya: Newspack Services, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Meilink, Henk A. Agricultural pricing policy in Kenya: Scope and impact. Nairobi, Kenya: Food and Nutrition Planning Unit, Ministry of Finance and Planning, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

The policy factor: Agricultural performance in Kenya and Tanzania. Boulder, Colo: L. Rienner Publishers, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Odhiambo, Walter. Sources and determinants of agricultural growth and productivity in Kenya. Nairobi, Kenya: Kenya Institute for Public Policy Research and Analysis, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Agriculture Kenya"

1

Owidhi, Mark Arango. "Climate Change and Agriculture in Kenya." In Sustainable Bioresource Management, 21–28. Includes bibliographical references and index.: Apple Academic Press, 2020. http://dx.doi.org/10.1201/9780429284229-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Micheni, Alfred, Patrick Gicheru, and Onesmus Kitonyo. "Conservation agriculture for climate smart agriculture in smallholder farming systems in Kenya." In Conservation agriculture in Africa: climate smart agricultural development, 431–42. Wallingford: CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0027.

Full text
Abstract:
Abstract Climate change is any significant change in climatic conditions. Such changes may negatively affect productivity of the rain-fed agriculture practised by over 75% of the smallholder Kenyan farmers. The effect leads to failure to sustainably provide adequate food and revenue to famers. It is on this basis that an almost 8-year field study was conducted to evaluate and scale climate resilient agricultural technological options associated with Conservation Agriculture (CA) systems and practices (no-till; maintenance of permanent soil cover; and crop diversification - rotations and associations), complemented with good agricultural strategies. The activities involved were targeted to sustainably increase productivity of maize-legumes farming systems while reducing environmental risks. The results showed improved soil properties (physical, chemical and health) and consequently increased crop yields and human nutrition by over 30%. Such benefits were attributed to cost savings arising from NT and reduced labour requirement for weed control. This was further based on enhanced crop soil moisture and nutrients availability and use efficiency leading to over 25% yield increase advantage. Apart from the field trials, the study used the Agricultural Production Simulator (APSIM) computer model to simulate CA scenario with the aim of providing potential quick answers to adopting CA practices for farm system productivity. The results were inclusively shared, leading to over 21% increase in the number of farmers adopting the CA practices within and beyond the project sites. The study's overall recommendation affirmed the need to integrate the CA practices into Kenyan farming systems for sustainable agricultural livelihoods and economic opportunities.
APA, Harvard, Vancouver, ISO, and other styles
3

Narh, Peter. "Traversing State, Agribusinesses, and Farmers’ Land Discourse in Kenyan Commercial Intensive Agriculture." In African Land Reform Under Economic Liberalisation, 181–97. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4725-3_9.

Full text
Abstract:
AbstractFrom a qualitative study of sugarcane production in Chemelil(western Kenya) and insights drawn from the Kenyan land reform enacted in 2012, this study contends that the goal of land reform to provide farmers with certainty of rights to land to invest in and benefit from agriculture is heavily weakened by the farmers’ lack of control over agricultural inputs. Land reform and intensive agriculture, such as sugarcane production, share the same market-based land discourse, where land is considered an environmental asset to be harnessed efficiently for high productivity. Although this discourse supports the application of high inputs for maximum agricultural outputs, it has also eroded farmers’ power and control over their lands. This loss of power and control occurs through the supply of high-cost agricultural inputs from external sources, such as state research agencies and the Chemelil Sugar Company. The control of inputs by sources external to farmers stifles possible farm-based innovations that could reduce farming costs. The chapter, thus, contends that, although land reform aims at farmers’ utmost benefit from land, the farmer’s lack of control over agricultural inputs limits the benefits they derive from land use for intensive agriculture; this is especially true in the case of small-scale farmers.
APA, Harvard, Vancouver, ISO, and other styles
4

Parry, Martin L., Timothy R. Carter, and Nicolaas T. Konijn. "Introduction to the Kenya Case Study." In The Impact of Climatic Variations on Agriculture, 129–48. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2965-4_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Parry, Martin L., Timothy R. Carter, and Nicolaas T. Konijn. "Introduction to the Kenya Case Study." In The Impact of Climatic Variations on Agriculture, 129–48. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2967-8_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Nyamwaro, S. O., D. K. Wamae, K. Kwena, A. O. Esilaba, W. Ndegwa, S. J. Matere, K. J. Wasswa, R. Ruttoh, and A. M. Kibue. "Situation Analysis of Climate Change Aspects in Kenya." In Adapting African Agriculture to Climate Change, 43–52. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13000-2_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kamau, Paul, Mitullah, Joshua, Kivuva, and Martin Atela. "Political Economy of Agriculture and Unemployment in Kenya." In Political Settlements and Agricultural Transformation in Africa, 75–96. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003147947-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Mwaniki, Fiona Nyawira, and Florence Kiragu Nyamu. "Reducing Food Loss in Kenya for a Sustainable Food Future." In Sustainable Agriculture and Food Security, 311–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98617-9_18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Motaroki, Lilian, Gilbert Ouma, and Dorcas Kalele. "“Conservation Agriculture,” Possible Climate Change Adaptation Option in Taita Hills, Kenya." In African Handbook of Climate Change Adaptation, 1331–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_184.

Full text
Abstract:
AbstractThe vicious cycle of food insecurity in Kenya and Africa at large is partly attributed to the high reliance on rainfed agriculture, which makes production systems vulnerable to the adverse impacts of climate change and variability. Conservation agriculture (CA) has been disseminated as a climate-smart practice that operates on three main principles to realize the multiple benefits of making crop production systems more resilient to climate change impacts, enhancing food security, and providing environmental services, such as carbon sequestration. As a major source of livelihood in the Taita Hills, agriculture is constrained by climate change owing to its rainfed nature. The yield and environmental and economic benefits of CA make it a suitable alternative approach to sustainable agricultural intensification, which is fundamentally different from conventional approaches based on intensive tillage and often disrupts ecosystem functions. This chapter provides the rationale for enhancing the adoption of CA in the Taita Hills by evaluating the current challenges affecting crop production, the role of CA in addressing the challenges and its potential benefits, and the barriers that must be overcome in order to promote its wide-scale adoption. A number of constraints appear to hinder the wide-scale adoption of CA in the Taita Hills, including lack of awareness, tenure-related issues, and weak policy and institutional support. Addressing these constraints will help catalyze investments for upscaling CA in the Taita Hills, with potential for replication in other parts of the country.
APA, Harvard, Vancouver, ISO, and other styles
10

Motaroki, Lilian, Gilbert Ouma, and Dorcas Kalele. "“Conservation Agriculture,” Possible Climate Change Adaptation Option in Taita Hills, Kenya." In African Handbook of Climate Change Adaptation, 1–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-42091-8_184-1.

Full text
Abstract:
AbstractThe vicious cycle of food insecurity in Kenya and Africa at large is partly attributed to the high reliance on rainfed agriculture, which makes production systems vulnerable to the adverse impacts of climate change and variability. Conservation agriculture (CA) has been disseminated as a climate-smart practice that operates on three main principles to realize the multiple benefits of making crop production systems more resilient to climate change impacts, enhancing food security, and providing environmental services, such as carbon sequestration. As a major source of livelihood in the Taita Hills, agriculture is constrained by climate change owing to its rainfed nature. The yield and environmental and economic benefits of CA make it a suitable alternative approach to sustainable agricultural intensification, which is fundamentally different from conventional approaches based on intensive tillage and often disrupts ecosystem functions. This chapter provides the rationale for enhancing the adoption of CA in the Taita Hills by evaluating the current challenges affecting crop production, the role of CA in addressing the challenges and its potential benefits, and the barriers that must be overcome in order to promote its wide-scale adoption. A number of constraints appear to hinder the wide-scale adoption of CA in the Taita Hills, including lack of awareness, tenure-related issues, and weak policy and institutional support. Addressing these constraints will help catalyze investments for upscaling CA in the Taita Hills, with potential for replication in other parts of the country.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Agriculture Kenya"

1

Thiga, Moses, and Simon Ndungu. "Utilization of ICT for agriculture: A case study of Kakamega county, Kenya." In 2015 IST-Africa Conference. IEEE, 2015. http://dx.doi.org/10.1109/istafrica.2015.7190569.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mravcová, Anna. "Support of Young Farmers in Kenya in the Context of Sustainable Agriculture." In International Scientific Days 2018. Wolters Kluwer ČR, Prague, 2018. http://dx.doi.org/10.15414/isd2018.s8.10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Szolnoki, Szabolcs, and Árpád Papp-Váry. "SILICON SAVANNAH – INNOVATION ECOSYSTEMS OF AFRICA WITH A SPECIAL REGARD TO KENYA." In THIRD INTERNATIONAL SCIENTIFIC CONFERENCE Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture CONFERENCE PROCEEDINGS. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2019. http://dx.doi.org/10.31410/itema.2019.149.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Cox, Achora Janet, and Haroon Sseguya. "ICT supported extension services in conservation agriculture information access for small holder farmers in Laikipia County, Kenya." In 2015 IEEE International Symposium on Technology and Society (ISTAS). IEEE, 2015. http://dx.doi.org/10.1109/istas.2015.7439408.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ellery, Megan, Lakshmi Hirpara, Ebenezer Akande, Gregory Schweiker, and John Gershenson. "Investigating Cash Flow in the Agricultural Supply Chain Within Kenya." In 2020 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2020. http://dx.doi.org/10.1109/ghtc46280.2020.9342881.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Nicklaus, Dane, and John Gershenson. "Innovating Solar Charging Kiosks For Shambatek's Agricultural Business In Kenya." In 2021 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2021. http://dx.doi.org/10.1109/ghtc53159.2021.9612498.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Luciani, R., G. Laneve, and M. JahJah. "Developing a classification method for periodically updating agricultural maps in Kenya." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729917.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Tangwa, Elvis, Vit Voženílek, Jan Brus, and Vilem Pechanec. "CLIMATE CHANGE AND THE AGRICULTURAL POTENTIAL OF SELECTED LEGUME CROPS IN EAST AFRICA." In GEOLINKS International Conference. SAIMA Consult Ltd, 2020. http://dx.doi.org/10.32008/geolinks2020/b1/v2/02.

Full text
Abstract:
Land expansion to increase agricultural production in East Africa (Burundi, Ethiopia, Kenya, Rwanda, Tanzania and Uganda) will be limited by climate change. In this study, we predict landscape suitability for chickpea (Cicer arietinum), common bean (Phaseolus vulgaris), lentil (Lens culinaris), field pea (Pisum sativum) and pigeon pea (Cajanus cajan) cultivated across diverse agro-ecological zones (AEZs) in East Africa from 1970 to 2070, under the 4.5 emission scenario. Our aim was to understand how suitability shifts among the AEZs might affect the agricultural potential of the selected crops. We use the geolocations of each crop together with response curves from the species distribution software, Maxent to fine-tune the expert based EcoCrop model to the prevailing climatic conditions in the study region. Our optimal precipitation and temperature ranges compared reasonably with the FAO base parameters, deviating by ±200mm and ±5oC, respectively. There is currently a high potential for lentil, pea and common bean in the region. However, under future climates, the suitability of common bean and lentil with a much narrow climate range will shrink considerably while pigeon pea and chickpea will continue to be suitable. Under projected climatic conditions, the agricultural potential of these legumes will be limited by drought or heat stress as landscape suitability will shift optimally toward the cool sub-humid (tcsh), and the cool semi-arid (tcsa) zones. Tanzania, Kenya and Uganda will be the most affected and will lose a large share of suitable arable land. Different adaptation measures will be needed to increase the agricultural potential and optimized production in vulnerable AEZs. In general, smallholder farmers will have to substitute lentil and common bean for chickpea and pigeon pea or other suitable substitutes to address food security issues. Notwithstanding the limitations of this study, our results highlight the vulnerability of legumes crops as well as their production zones which could be useful in the formulation of adaptation strategies for the East African region.
APA, Harvard, Vancouver, ISO, and other styles
9

Rademaker, C. J., S. J. Oosting, and H. Jochemsen. "10. Modernising the Kenyan dairy sector?" In 14th Congress of the European Society for Agricultural and Food Ethics. The Netherlands: Wageningen Academic Publishers, 2018. http://dx.doi.org/10.3920/978-90-8686-869-8_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

MAKARIO, Jared, Kimutai NGETICH, and Ciira wa MAINA. "Long Range Low Power Sensor Networks for Agricultural Monitoring - A Case Study in Kenya." In 2019 IST-Africa Week Conference (IST-Africa). IEEE, 2019. http://dx.doi.org/10.23919/istafrica.2019.8764882.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Agriculture Kenya"

1

Wambugu, Charles, Steve Franzel, and J. Rioux. Options for climate-smart Agriculture at Kaptumo site in Kenya. World Agroforestry Centre (ICRAF), 2014. http://dx.doi.org/10.5716/wp14394.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Aju, Stellamaris, Berber Kramer, and Waithaka Lilian. Edutainment, gender and intra-household decision-making in agriculture: A field experiment in Kenya. Washington, DC: International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.136486.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Eckert, Elizabeth, Eleanor Turner, and Jo Anne Yeager Sallah. Youth Rural-Urban Migration in Bungoma, Kenya: Implications for the Agricultural Workforce. RTI Press, August 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0062.1908.

Full text
Abstract:
This study provides insights into a specific, hard-to-reach youth subpopulation—those born in agricultural areas in Western Kenya who migrate to large towns and cities—that is often missed by research and development activities. Using a mixed-methods approach, we find high variability in movement of youth between rural villages, towns, and large urban areas. Top reasons for youth migration align with existing literature, including pursuit of job opportunities and education. For youth from villages where crop farming is the primary economic activity for young adults, 77 percent responded that they are very interested in that work, in contrast to the common notion that youth are disinterested in agriculture. We also find many youth interested in settling permanently in their villages in the future. This research confirms that youth migration is dynamic, requiring that policymakers and development practitioners employ methods of engaging youth that recognize the diversity of profiles and mobility of this set of individuals.
APA, Harvard, Vancouver, ISO, and other styles
4

Lamarque, Hugh, and Hannah Brown. Key Considerations: Cross-Border Dynamics Between Uganda and Kenya in the Context of the Outbreak of Ebola, 2022. Institute of Development Studies, December 2022. http://dx.doi.org/10.19088/sshap.2022.043.

Full text
Abstract:
This brief summarises key considerations concerning cross-border dynamics between Uganda and Kenya in the context of the outbreak of Ebola (Sudan Virus Disease, SVD) in Uganda. It is part of a series focusing on at-risk border areas between Uganda and four high priority neighbouring countries: Kenya; Rwanda; Tanzania, and South Sudan. The outbreak began in Mubende District, Uganda on 19 September 2022, approximately 340km from the Kenyan border. At the time of writing (December 2022), the outbreak had spread to eight Ugandan districts, including two in the Kampala metropolitan area. Kampala is a transport hub, with a population over 3.6 million. While the global risk from SVD remains low according to the World Health Organization (WHO), its presence in the Ugandan capital has significantly heightened the risk to regional neighbours. Kenya is categorised as a priority level 1 country, following a case in Jinja on the road between Kampala and the Kenyan border, on 13 November 2022. A total of 23 suspected cases were tested in Kenya up to 1 December 2022, all with negative results. To date, no case of SVD has been imported into the country from Uganda. This brief provides details about cross-border relations between the two states, the political and economic dynamics likely to influence these, and the specific areas and actors most at risk. The brief is based on a rapid review of existing published and grey literature, news reports, previous ethnographic research in Kenya and Uganda, and informal discussions with colleagues from the International Organisation for Migration, UNICEF, UNDP, Save the Children, the Kenyan Red Cross Society, the Kenyan Ministry of Health (MoH) and Ministry of Livestock, Agriculture and Fisheries in Kenya, and the Safe Water and AIDS project in Kisumu. It was requested by the Collective Service, written by Hugh Lamarque (University of Edinburgh) and Hannah Brown (Durham University) and supported by Olivia Tulloch (Anthrologica). It was further reviewed by colleagues from Anthrologica, the Institute of Development Studies, and the Collective Service. This brief is the responsibility of SSHAP.
APA, Harvard, Vancouver, ISO, and other styles
5

Olwande, John, Miltone Ayieko, John Mukundi, and Nicholas Odhiambo. A Multi-Phase Assessment of the Effects of COVID-19 on Food Systems and Rural Livelihoods in Kenya. Institute of Development Studies (IDS), December 2021. http://dx.doi.org/10.19088/apra.2021.037.

Full text
Abstract:
Kenya confirmed its first case of COVID-19 on 12 March 2020. Like many governments across the world, the Kenyan government implemented various measures aimed at slowing down local spread of the virus and cushioning the population against the negative economic effects of the pandemic and the associated policy restrictions. International organisations and researchers postulated that the measures would negatively affect economic activities and livelihoods, with undesirable implications for poverty and food insecurity. Particularly vulnerable would be populations in developing countries such as Kenya, where many people depend on food systems for their livelihoods, and the majority of those are smallholder farmers who often have low economic power. The objective of this rapid assessment was to investigate the impact of COVID-19 on the food system and the sub-set of the population largely dependent on agriculture in Kenya to inform actions that can assure protection of rural livelihoods and continued access to adequate and affordable food of acceptable quality to the population. This report presents results of that rapid assessment.
APA, Harvard, Vancouver, ISO, and other styles
6

Olwande, John. Impact of COVID-19 on Food Systems and Rural Livelihoods in Kenya – Round 1 Report. Institute of Development Studies (IDS), October 2020. http://dx.doi.org/10.19088/apra.2020.004.

Full text
Abstract:
Kenya confirmed its first case of COVID-19 on 12 March 2020. Since then, the government has been providing daily updates on the number of new COVID-19 infections, recoveries and deaths in the country, as well as implementing several interventions to manage the disease. The cumulative numbers as of 12 August 2020 were 27,425 new infections, 13,867 recoveries and 438 deaths, and rising. The objective of this assessment was to understand the effects of COVID-19 on the food system and the sub-set of the population largely dependent on agriculture. The findings were intended to inform actions to assure protection of rural livelihoods and the continued supply of adequate and affordable food of acceptable quality to the population.
APA, Harvard, Vancouver, ISO, and other styles
7

Bourne, Mieke, Jonathan Muriuki, Jude Capis, and Lydia Wafula. Looking back to look ahead: insight into the effectiveness and efficiency of selected advisory approaches in the dissemination of agricultural technologies indicative of Conservation Agriculture with Trees in Machakos County, Kenya. World Agroforestry Centre, 2015. http://dx.doi.org/10.5716/wp15050.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

De Groote, Hugo, Cliff Marangu, and Zachary M. Gitonga. Evolution of agricultural mechanization in Kenya. Washington, DC: International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/9780896293809_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Fabregas, Raissa, Michael Kremer, Jon Robinson, and Frank Schilbach. Evaluating agricultural information dissemination in western Kenya. International Initiative for Impact Evaluation (3ie), December 2017. http://dx.doi.org/10.23846/tw4.ie67.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Fabregas, Raissa, Michael Kremer, Jon Robinson, and Frank Schilbach. Evaluating agricultural information dissemination in western Kenya. International Initiative for Impact Evaluation, February 2018. http://dx.doi.org/10.23846/tw41011.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Agriculture Kenya' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography