Klimova, Alexandra (author), Rondeau, Eric (author), Andersson, Karl (author), Porras, Jari (author), Rybin, Andrei (author), and Zaslavsky, Arkady (author)
Format:
Journal article
Publication Date:
2016-11
Published:
USA: Elsevier Science Publishers
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 157 Document Number: D07540
7 pages, Agricultural extension is the medium through which external agricultural technologies have been transferred to and transplanted in Africa to improve agricultural performance. Over a period of close to a century, different agricultural extension models have been proposed but their structure and content has virtually been the same: top-down, linear, non-participatory transfer of technology with no feedback loops for reverse diffusion. This presumably explains the poor performance of Africa’s agriculture and the scale of food security challenges facing the continent. In this review paper, we trace the history of agricultural extension and examine various agricultural extension delivery models to identify their major strengths and weaknesses, using Ghana and Burkina Faso as case studies. We then review the most recent literature in the field about the philosophy, scope, content, delivery, and outcomes of agricultural extension. The conclusion that agricultural extension has consistently remained out of sync with the needs and aspirations of stallholder farmers was reached. Smallholder farmers are now calling for new agricultural extension delivery models that are truly farmer-led, indigenous knowledge-based, context-specific, culturally-relevant and environmentally-sustainable to guarantee efficient farming systems into the future.
15 pages, The purpose of this study was to assess the effectiveness of extension services on capacity building of smallholder livestock farmers in Midvaal Local Municipality, Gauteng Province, South Africa. A simple random sample technique was used to select the participants, so that individual farmers in the study population could have an equal chance of being selected in the study. A structured questionnaire was used to collect data from 148 smallholder livestock farmers. The data gathered from participants was coded and captured in Microsoft Excel. Descriptive statistics such as frequency counts, mean, percentages, standard deviation, ranking order, and inferential statistics such as binary logistic regression were used to analyse the data. Results showed that technical farm visits (M = 3.3, SD = ±1.36) and informal training (M = 3.2, SD = ±1.31) were effective extension methods. Furthermore, they showed that extension services were less effective at enabling farmers to penetrate formal markets (M = 2,0 SD = ±1.06) and access finance (M = 1.9, SD = ±1.01). The binary logistic regression model revealed that gender and farming status were the main variables that significantly (P<0.05) influenced smallholder livestock farmers’ access to extension services. It was concluded that extension services in the study area were playing a major role in the capacity building of smallholder livestock farmers.
17 pages, The purpose of the study was to design a device for the dissolution of fertilizers for agricultural use in an automatic and environmentally sustainable way to facilitate the work of farmers. To achieve this goal, an outdated blade design was used, which generates turbulent and laminar flows thanks to the angle of inclination of its blades. In tests, the combination of these two flows gave a better result compared to laminar and turbulent flows separately. The best results were achieved by varying the spin and speed, the time between spins, and the rest time. The time it would take to dissolve the mixture was drastically reduced if it were conducted in the traditional way (manually) or compared with commercial mixers. In conclusion, the technique used for the dissolution of agricultural minerals is more effective and reduces time, energy, and effort. This was able to reduce the time necessary to dissolve the fertilizer by 93 percent compared to doing it manually and by 66 percent compared to using commercial mixers, in a solution of 100 L of water per 100 kg of ammonium sulfate.
3 pages, Big data represent a new productive factor (the "new oil" for advocates) that generates new realities in agriculture. By adding an extra "cyber" dimension to current farming systems, big data lead to the emergence of new, complex cyber-physical-social systems. However, our understanding of the sustainability of such systems is still at a rudimental stage. In this critical review we attempt to shed some light on this topic, by identifying and presenting some issues that put in doubt the sustainability of big data agriculture. By using a punctuated equilibria lens, we argue that despite their contribution to the economic and environmental performance of farming, big data act as a speciation mechanism. Hence, they lead to new forms of intraspecific, interspecific and intergeneric competition, thus putting at risk the most vulnerable players of the game. We conclude by pointing out that to holistically address the interrelation between big data and agricultural sustainability we need a hybrid research line, which will combine the qualities of both technology-oriented research and critical social science.
20 pages, Organic agriculture has the potential to improve the environmental performance of U.S. agriculture, supporting increasing food demand and diversification of food consumption while improving the quality of ecosystems. Organic growers are challenged by a lack of Cooperative Extension agent support as agents have not served organic growers to the same extent as conventional growers nationwide. Rogers’ (2003) diffusion of innovations theory guided our phenomenological inquiry to explore (a) what agents experienced while supporting organic growers, and (b) how agents experienced providing support to organic growers in north Georgia. According to participants, the essence of the support offered to organic growers was an uneven bridge. Agents were willing to provide growers with the resources to support organic production; however, they lacked theoretical and empirical knowledge regarding organic agricultural production that would enable them to establish stronger relationships with growers. Findings from the study and the uneven bridge metaphor led to an original model to assist Extension agents in better serving the organic agricultural community.
