13 pages., While work on agricultural messaging is abundant, the way that audiences form perceptions of messages is not well understood and little research has examined the cognitive effects of image and word associations in an agricultural context. Previous knowledge gap research has shown that socioeconomic status and access to information could be one contributor of perception formation. We propose that these variables could also impact cognitive processing. Therefore, the purpose of this exploratory study was to examine how components of cognitive dissonance and knowledge gap theory apply in the context of a contentious agricultural issue. Data were collected from 1,049 United States’ residents through an online survey with an embedded experimental design. Respondents randomly received one of two image and word association pairings. After viewing the treatment, measures of cognitive conflict, demographics, and desire to learn more were collected. The results showed that the cognitive conflict instrument performed differently in the context of a complex agricultural issue than in prior research. Additionally, the message pairings had a stronger influence on cognitive conflict components than demographic characteristics. Finally, the desire to learn more was impacted by the message treatments. Future research on cognitive conflict and advanced modeling is recommended.
27 pages., The provision of information through mobile phone-enabled agricultural information services (m-Agri services) has the potential to revolutionise agriculture and significantly improve smallholder farmers’ livelihoods in Africa. Globally, the benefits of m-Agri services include facilitating farmers’ access to financial services and sourcing agricultural information about input use, practices, and market prices. There are very few published literature sources that focus on the potential benefits of m-Agri services in Africa and none of which explore their sustainability. This study, therefore, explores the evolution, provision, and sustainability of these m-Agri services in Africa. An overview of the current landscape of m-Agri services in Africa is provided and this illustrates how varied these services are in design, content, and quality. Key findings from the exploratory literature review reveal that services are highly likely to fail to achieve their intended purpose or be abandoned when implementers ignore the literacy, skills, culture, and demands of the target users. This study recommends that, to enhance the sustainability of m-Agri services, the implementers need to design the services with the users involved, carefully analyse, and understand the target environment, and design for scale and a long-term purpose. While privacy and security of users need to be ensured, the reuse or improvement of existing initiatives should be explored, and projects need to be data-driven and maintained as open source. Thus, the study concludes that policymakers can support the long-term benefit of m-Agri services by ensuring favourable policies for both users and implementers.
24 pages, In this work, an exhaustive revision is given of the literature associated with advanced information and communication technologies in agriculture within a window of 25 years using bibliometric tools enabled to detect of the main actors, structure, and dynamics in the scientific papers. The main findings are a trend of growth in the dynamics of publications associated with advanced information and communication technologies in agriculture productivity. Another assertion is that countries, like the USA, China, and Brazil, stand out in many publications due to allocating more resources to research, development, and agricultural productivity. In addition, the collaboration networks between countries are frequently in regions with closer cultural and idiomatic ties; additionally, terms’ occurrence are obtained with Louvain algorithm predominating four clusters: precision agriculture, smart agriculture, remote sensing, and climate smart agriculture. Finally, the thematic-map characterization with Callon’s density and centrality is applied in three periods. The first period of thematic analysis shows a transition in detecting the variability of a nutrient, such as nitrogen, through the help of immature georeferenced techniques, towards greater remote sensing involvement. In the transition from the second to the third stage, the maturation of technologies, such as unmanned aerial vehicles, wireless sensor networks, and the machine learning area, is observed
Fielke, Simona (author), Taylor, Brucea (author), Coggan, Antheaa (author), Jakku, Emma (author), Davis, Aaron M. (author), Thorburn, Peter J. (author), Webster, Anthony J. (author), and Smart, James C.R. (author)
Format:
Journal Article
Publication Date:
2022-04-01
Published:
Netherlands: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12813
12pgs, We report on qualitative social research conducted with stakeholders in a local agricultural knowledge and advice network associated with a collaborative water quality monitoring project. These farmers, advisors and researchers allude to existing social dynamics, technological developments, and (more general) social evolution which is analysed against a novel analytical framework. This framework considers notions of power, social capital, and trust as related and dynamic, forming the basis of our contribution to knowledge. We then probe the data to understand perceived impacts of the collaborative project and social interaction associated with this research project, which involved cutting edge automated and frequent water quality monitoring that allowed for near real-time access to data visualisation displayed via a bespoke mobile or web ‘app’ (1622WQ). Our findings indicate that a multi-faceted approach to assessing and intervening based on consideration of multiple social dimensions holds promise in terms of creating conditions that allow for individual and group learning to encourage changes in thinking required to result in improved land management practice.
Getson, Jackie M. (author), Church, Sarah P. (author), Radulski, Brennan G. (author), Sjöstrand, Anders E. (author), Lu, Junyu (author), and Prokopy, Linda S. (author)
Format:
Journal Article
Publication Date:
2022-08-02
Published:
United States: PLOS One
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 205 Document Number: D12709
22pgs, In the United States, a public debate remains about the existence and effects of anthropogenic climate change. This skepticism is present in the agricultural sector, rendering climate science communication challenging. Due to the polarization of climate change issues and the concurrent need for agricultural adaptation, we sought to examine how scientists communicate in this sector. A survey, administered to climate scientists and pertinent U.S. federal agency staff (response rate = 43%), was conducted to examine perspectives on communicating with five agricultural stakeholder groups: agribusinesses, crop advisors, general public, producers, and policymakers. We focused on three aspects of the communication process with these stakeholders to evaluate if scientists, as messengers, were following best practices–communicator training, knowledge of stakeholder, and terminology use. We found scientists valued communication training; however, the majority had not attended formal training. Scientists had different views on climate change than producers and crop advisors but understood their perspective and were deliberate with their communication with different audiences. This suggests stakeholder knowledge and terminology use do not hinder communication between scientist and stakeholder. We also highlight three communication challenges present across stakeholder groups–stakeholder knowledge, timescale, and scientific uncertainty–and others that were specific to each stakeholder group. Future research should support scientists by identifying and resolving barriers to training and effective communication strategies for each stakeholder group that addresses these challenges.
20 pages., Agricultural communication covers all kinds of human communications involving agriculture, food, natural resources and rural interests. Such communications exchange and deliver the information of the agricultural and natural resource industries to the right receivers through effective media. Storytelling in marketing is also a managerial application; it is a marketing strategy that includes the agricultural industry. While an increasing number of agricultural businesses are promoting the application of agricultural stories in marketing and facilitating increases in the consumption of agricultural products, few researchers have explicitly developed valid tools for measuring the constructs of agricultural stories. This study continued previous research on effective model of storytelling in agricultural marketing, with the aim of exploring the constructs of a good agricultural story and developing the “Agricultural Story Scale” to measure them. Thirteen items measuring three factors—authenticity, narrative, and protagonist’s distinctiveness—were confirmed to have satisfactory structural model fit. The findings of the study and recommendations that contribute to both theoretical and practical implications are reported.
Keywords: Agricultural Story; Agricultural Communication; Measurement; Storytelling; Storytelling in Marketing
10 pages, In vitro meat (IVM) grown from animal cells is approaching commercial viability. This technology could enable consumers to circumvent the ethical and environmental issues associated with meat-eating. However, consumer acceptance of IVM is uncertain, and is partly dependent on how the product is framed. This study investigated the effect of different names for IVM on measures of consumer acceptance. Participants (N = 185) were allocated to one of four conditions in an experimental design in which the product name was manipulated to be ‘clean meat’, ‘cultured meat’, ‘animal free meat’, or ‘lab grown meat’. Participants gave word associations and measures of their attitudes and behavioural intentions towards the product. The results indicated that those in the ‘clean meat’ and ‘animal free meat’ conditions had significantly more positive attitudes towards IVM than those in the ‘lab grown meat’ condition, and those in the ‘clean meat’ condition had significantly more positive behavioural intentions towards IVM compared to those in the ‘lab grown meat’ condition. Mediation analyses indicated that the valence of associations accounted for a significant amount of the observed differences, suggesting that anchoring can explain these differences. We discuss these results in the context of social representations theory and give recommendations for future research.
15 pages, Sustainable agricultural technologies are of great significance in fully utilizing agricultural resources and promoting agricultural production. However, the adoption rates of these technologies are often characterized as low in rural areas in China. To figure out the potential salient determinants of rice farmers’ willingness to adopt sustainable agricultural technologies, this paper, by employing the multivariate probit model and ordered probit model, particularly and firstly explores the roles of observational learning and experience-based learning through communication from parents within the household on rice farmers’ willingness to adopt these technologies. Results show that there are strong complementarities and substitutabilities between sustainable agricultural technologies that rice farmers are willing to adopt, and that observational learning and experience-based learning through communication within the household do have pronounced effects on rice farmers’ willingness to adopt some sustainable agricultural technologies and on their intensive use intentions. Therefore, while formulating policies to improve the adoption rates and adoption intensity of these technologies, relevant government agencies should take the complementarities and substitutabilities between sustainable agricultural technologies as well as observational learning and experience-based learning through communication from parents into consideration.
