Garrett M. Steede (author), Courtney Meyers (author), Nan Li (author), Erica Irlbeck (author), Sherice Gearhart (author), and Texas Tech University; University of Minnesota - Twin Cities
Format:
Journal article
Publication Date:
2018
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 149 Document Number: D10103
Article 4; pgs. 1-16, On January 1, 2017, the final rule of the Veterinary Feed Directive (VFD) was put into place requiring
antibiotics approved for both humans and animals to be discontinued for growth promotion. This change was
brought on by the role growth promoters in livestock production play in the development of antibiotic
resistance. Antibiotic resistance increases the costs associated with human health care by increasing the length
of stays in the hospital and requiring more intensive medical care for patients. The purpose of this study was to
explore sentiment and characteristics of social media content and the characteristics of the key influencers
whose opinions had the greatest amount of reach on social media in regard to antibiotic use in livestock and
antibiotic resistance. Nuvi, a social media monitoring program, provided sentiment for each tweet and coded
64.8% of the content (n = 129) as negative compared to 38.2% (n = 76) humans coded as negative. The
contrast between human coders and Nuvi indicates there could be discrepancies between how Nuvi codes
content and the way a human might interpret the content. No key influencer discussed antibiotic use in
livestock positively. Findings suggest agricultural communicators should not rely completely on the output
from sentiment analysis programs to evaluate how the public discusses issues related to agriculture,
particularly controversial issues. Further, agricultural communications practitioners should prioritize
monitoring the content shared by key influencers in an effort to better understand the content being shared by
the most influential users. Recommendations for future research are provided.
21 pages, We evaluate causal impacts of a large-scale agricultural extension program for smallholder women farmers on technology adoption and food security in Uganda through a regression discontinuity design that exploits an arbitrary distance-to-branch threshold for village program eligibility. We find eligible farmers used better basic cultivation methods, achieved improved food security. Given minimal changes in adoption of relatively expensive inputs, we attribute these gains to improved cultivation methods that require low upfront monetary investment. Farmers also modified their shock-coping methods. These results highlight the role of information and training in boosting agricultural productivity among poor farmers and, indirectly, improving food security.
8 pages, Agricultural extension can be defined as the entire set of organisations that support and facilitate people engaged in agricultural production to solve problems and to obtain information, skills and technologies to improve their livelihoods and well-being. Extension officials should ensure that farmers are engaged and capacitated so that they can make production decisions that are not in conflict with nature, yet such decisions ensure that their well-being is improved. With 75% of the world’s poor living in rural areas, the topic of improved agriculture through agricultural extension is viewed as central to poverty reduction. There have been questions posed by stakeholders (communities, policy-makers and politicians) about the non-visibility and accountability of agricultural extension in the communities that it is supposed to help. There are however a number of factors (perceived or real) that make agricultural extension less or not visible nor accountable. Therefore, this paper investigates and proposes a theoretical framework or model to ensure that agricultural extension is visible and accountable to all stakeholders. This will in turn ensure that there are noticeable increases or improvement of the lives of the resource poor farmers and communities.
18pgs, This analysis investigates the potential mechanisms and the practical significance of agricultural value chain development in a geographically challenging rural area of a developing country. Using data from a carefully designed primary survey administered in a hill and mountainous region in Western Nepal, we show that linking small-scale producers to regional and local traders can help increase income. Analysis of impact pathways shows that the positive impact on household income emerges through higher agricultural income, driven by higher sale volume at lower prices. Focusing on high value commodities in rural areas, where arable land is not always fully exploited or utilized, appears to lead to acreage expansion and some crop switching, contributing to higher supply albeit at lower prices. The positive impact on household income is practically significant; it helps improve household food security and asset accumulation. These findings are robust to alternative specifications. Targeted value chain interventions that strengthen and stabilize small-scale producers’ access to markets can contribute to rural poverty reduction via increase in agricultural income.
MATEI, Daniela (author), BRUMĂ, Ioan Sebastian (author), TANASĂ, Lucian (author), and Senior Researcher, Ph.D., Romanian Academy -Iaşi Branch, Gh. Zane"Institute of Economic and Social Research
Researcher, Ph.D., Romanian Academy -Iaşi Branch, Gh. Zane"Institute of Economic and Social Research
Format:
Journal article
Publication Date:
2016
Published:
Romania: Apollonia University of Iasi, Communication Sciences Faculty
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 164 Document Number: D08309
24 pages, Alternative food networks (AFN) are argued to provide platforms to re-socialize and re-spacealize food, establish and contribute to democratic participation in local food chains, and foster producer–consumer relations and trust. As one of the most recent examples of AFN, Participatory Guarantee Systems (PGS) have gained notable traction in attempting to redefine consumer-producer relations in the organic value chain. The participation of stakeholders, such as consumers, has been a key element theoretically differentiating PGS from other organic verification systems. While research on farmer participation in PGS is attracting interest, consumer participation is still widely overlooked. Using a mixed methods approach, this paper describes five PGS markets in Mexico, Chile and Bolivia. A survey was conducted with consumers in the PGS markets to explore their awareness of the PGS, how consumers participate in the PGS, and their level of trust in the respective PGS and its certified products. Results showed a low level of awareness of PGS among market consumers, few participation possibilities, and minimal consumer participation overall. Nevertheless, trust in organic quality was generally high. Consumers primarily relied on the direct relationship with producers and the PGS market itself as sources of trust. These results provide novel insight into PGS consumer-market interactions, and contribute to discussions concerning social embeddedness, awareness and participation within AFN.
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
8 pages, Food security is one of the priorities of every country in the World. However, different factors are making it difficult to meet global targets on food security. Some unprecedented shocks are encumbering food security at the global level. Various interventions have been applied toward food security and artificial intelligence is one of the modern methods that is being used in various stages of the food system. In this paper, the application of artificial intelligence in the whole food production ecosystem ranging from crop production, livestock production, harvesting/slaughtering, postharvest management, food processing, food distribution, food consumption and food waste management is assessed. The objective of this research is to assess the application of artificial intelligence systems in all the stages of food systems. A systematic review was conducted by analyzing 110 articles after the screening of 450 articles based on the inclusion and exclusion criteria. The results indicated that various artificial intelligence algorithms are being applied to all the stages of the food system from crop/livestock production up to food or agro-waste management.
