11 pages, This proof-of-concept study explores the innovative application of Large Language Models (LLMs) for qualitative analysis of feedback from an Extension program, addressing the challenge of efficiently analyzing qualitative data. The study juxtaposes traditional human-led qualitative analysis with Artificial Intelligence (AI)-driven techniques, revealing the complementary strengths of human insights and AI efficiency. It underscores the potential of LLMs to enhance qualitative analysis while recognizing the need for human oversight to ensure depth and context accuracy. This research contributes to the fields of program evaluation and data analysis, offering a new paradigm for integrating advanced AI tools in qualitative research.
7 pgs, Extension is uniquely positioned to deliver data-driven solutions to complex community issues with University applied research, particularly through crises like COVID-19. Applying the Policy, Systems and Environmental (PSE) framework to community development is an effective, innovative approach in guiding Extension leaders to create, document, and share long-term transformative change on challenging issues with stakeholders. Beyond the public health sector, applying a PSE approach to community development provides leverage points for population-level benefits across sectors. This article describes current public health approaches, methodologies, and how the PSE framework translates to other programs with four examples of high-impact, systems level Extension projects.
8pgs, The agribusiness sector includes a diverse group of interests - crop producers, livestock and meat producers, poultry and egg companies, dairy farmers, timber producers, tobacco companies and food manufacturers and stores. The industry has new-found relevance going into 2019 as the trade war between China and the United States continues to rage leaving many in the business, especially soybean farmers, hurting.
The industry's giving reached its peak in the 2016 presidential cycle spending more than $118 million. The number fell in 2018 to more than $92 million, but was good for the third-highest spending cycle, and highest for a midterm, the industry has had.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D12151
Notes:
Online via AgriMarketing Weekly. 1 page., Data, analytics and technology company DTN acquires a global farm-level data source, Farm Market ID. Both share goals of helping agribusinesses support producers.
13 pages, via Online Journal, This paper contributes to our understanding of farm data value chains with assistance from 54 semi-structured interviews and field notes from participant observations. Methodologically, it includes individuals, such as farmers, who hold well-known positionalities within digital agriculture spaces—platforms that include precision farming techniques, farm equipment built on machine learning architecture and algorithms, and robotics—while also including less visible elements and practices. The actors interviewed and materialities and performances observed thus came from spaces and places inhabited by, for example, farmers, crop scientists, statisticians, programmers, and senior leadership in firms located in the U.S. and Canada. The stability of “the” artifacts followed for this project proved challenging, which led to me rethinking how to approach the subject conceptually. The paper is animated by a posthumanist commitment, drawing heavily from assemblage thinking and critical data scholarship coming out of Science and Technology Studies. The argument’s understanding of “chains” therefore lies on an alternative conceptual plane relative to most commodity chain scholarship. To speak of a data value chain is to foreground an orchestrating set of relations among humans, non-humans, products, spaces, places, and practices. The paper’s principle contribution involves interrogating lock-in tendencies at different “points” along the digital farm platform assemblage while pushing for a varied understanding of governance depending on the roles of the actors and actants involved.
4 pages, via Online journal, Bougainvillea (Bougainvillea sp.) plant inflorescence number will vary in response to multiple cues such as changes in temperature, water, light intensity, pruning, and photoperiod. Previous research reports that the application of plant growth regulators (PGRs) to bougainvillea grown under varying photoperiods improved inflorescence number, probably as a result of changes in gibberellic acid (GA) levels. There are many bioactive plant GAs, but we chose to investigate differences in gibberellic acid 3 (GA3) levels and inflorescence number in response to the application of ethephon (2-cholorethylphosponic acid) or abscisic acid (ABA) to ‘Afterglow’ bougainvillea (Bougainvillea ×buttiana) grown under 14-hour photoperiod [long-day (LD)] conditions. Plants were 5 inches tall with seven visible lateral nodes and were grown in a greenhouse in 4-inch pots filled with 5-mm coarse aquarium zeolite. Ethephon was applied as a foliar spray at 0.05, 0.07, 0.10, 0.15, or 0.20 mg/plant. ABA was applied as a soil drench at 1, 1.5, 3, 6, 8, or 10 mg/plant. Endogenous levels of GA3 were measured 1 and 48 days after treatment to calculate the change in GA3 (∆GA3). A short day (SD) control of 8 hours was included to measure differences in inflorescence number and ∆GA3 between photoperiods. ‘Afterglow’ plants grown under SD conditions had the greatest decrease in ∆GA3 (–1.09 µg·g–1) over 48 days and the most inflorescences (10.6) compared with LD control plants with a decrease in ∆GA3 of –0.09 µg·g–1 and fewer inflorescences (1.0). Plants grown under LD conditions and treated with 0.05 mg/plant ethephon had inflorescence numbers (9.6) and levels of ∆GA3 (–0.74 µg·g–1) similar to the SD control. As ethephon rate increased to more than 0.05 mg/plant, inflorescence number on LD plants decreased and ∆GA3 increased. Exogenous ABA rates of 1 mg/plant produced inflorescence numbers (1.4) and ∆GA3 (–0.10 µg·g–1) similar to the LD control. As the rate increased, ∆GA3 increased and inflorescence number decreased. Plants treated with ABA rates of 3 mg/plant and more were defoliated and had no inflorescences.
10 pages, Enormous quantities of data are generated through social and online media in the era of Web 2.0. Understanding consumer perceptions or demand efficiently and cost effectively remains a focus for economists, retailer/consumer sciences, and production industries. Most of the efforts to understand demand for food products rely on reports of past market performance along with survey data. Given the movement of content-generation online to lay users via social media, the potential to capture market-influencing shifts in sentiment exists in online data. This analysis presents a novel approach to studying consumer perceptions of production system attributes using eggs and laying hen housing, which have received significant attention in recent years. The housing systems cage-free and free-range had the greatest number of online hits in the searches conducted, compared with the other laying hen housing types. Less online discussion surrounded enriched cages, which were found by other methods/researchers to meet many key consumer preferences. These results, in conjunction with insights into net sentiment and words associated with different laying hen housing in online and social media, exemplify how social media listening may complement traditional methods to inform decision-makers regarding agribusiness marketing, food systems, management, and regulation. Employing web-derived data for decision-making within agrifood firms offers the opportunity for actionable insights tailored to individual businesses or products.
28pgs, Technological advancement is seen as one way of sustainably intensifying agriculture. Scholars argue that innovation needs to be responsible, but it is difficult to anticipate the consequences of the ‘fourth agricultural revolution’ without a clear sense of which technologies are included and excluded. The major aims of this article were to investigate which technologies are being associated with the fourth agricultural revolution, as well as to understand how this revolution is being perceived, whether positive or negative consequences are given equal attention, and what type of impacts are anticipated. To this end, we undertook a content analysis of UK media and policy documents alongside interviews of farmers and advisers. We found that the fourth agricultural revolution is associated with emergent, game-changing technologies, at least in media and policy documents. In these sources, the benefits to productivity and the environment were prioritised with less attention to social consequences, but impacts were overwhelmingly presented positively. Farmers and advisers experienced many benefits of technologies and some predicted higher-tech futures. It was clear, however, that technologies create a number of negative consequences. We reflect on these findings and provide advice to policy-makers about how to interrogate the benefits, opportunities, and risks afforded by agricultural technologies.
18 pages., via online journal, As food products marketed as “gluten-free” become increasingly popular, many consumers start to exclude sources of gluten (e.g., wheat, barley, and rye) from their diets for both medical and non-medical purposes. The grain industry is facing a growing challenge to (re)boost consumers’ confidence in the healthiness and safety of its commodities. Using 561 participants recruited from the Amazon Mechanical Turk workers’ panel, this study implemented a 2 (pretzels vs. potato chips) * 2 (positive- vs. negative- frame) * 2 (wheat image vs. no wheat image) experiment to examine the effects of gluten-free labels on consumers’ perceived healthiness and safety of wheat, perceived benefits of labeled products, and their evaluation of the shown labels. Results showed that consumers evaluate the gluten-free labels most positively when they appear on products that could have contained gluten. For products that are naturally gluten-free, adding a gluten-free label only decreased consumers’ confidence in such labels. The presence of gluten-free labels increased consumers’ perceived benefits of the labeled products when they do not contain any misleading information (e.g., image of a wheat head). However, some gluten-free labels could have negative impacts on consumers’ perceptions of the healthiness and safety of wheat. Overall, food producers and marketers might have undervalued consumers’ literacy and overestimated their susceptibility to marketing strategies. We discussed the implications for food marketers, regulators, and communicators.
Mike, Moses R. (author), Rampold, Shelli D. (author), Telg, Ricky W. (author), Lindsey, Angela B. (author), and Association for Communication Excellence (ACE)
University of Florida
Format:
Online journal article
Publication Date:
2020-02
Published:
United States: New Prairie Press
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 131 Document Number: D11303
15 pages., via online journal, Crisis communication plays a significant role for the different audiences for which it is designed. Hurricanes and other disasters have resulted in major economic damage and disruption of social norms for extended periods of time in communities across the globe. In such circumstances, the Cooperative Extension Service is often called to take an active role in preparation, response, and recovery. As part of the local emergency management team, local Extension offices are positioned to provide a research base, relevant information, and faculty. As such, citizens often look to Extension faculty members for emergency resources and expertise. However, standard communication methods can be significantly affected in disaster situations. Further, difficulty to fully anticipate such effects can limit Extension’s ability to communicate with targeted audiences and deliver important information. This descriptive study was conducted to examine Florida Extension offices’ and Extension faculty members’ communication efforts and effectiveness during the 2017 hurricane season. The primary methods used by respondents to communicate with subject matter clientele were email, face to face, and phone; the primary method used to communicate with the public was the internet/web. Respondents felt clientele and the public were only moderately aware of Extension’s efforts during the hurricane season. Future research is needed to investigate Extension faculty members’ choice of communication channels, as well as the ability of these channels to convey information to clientele and the public. Future research should also examine the communication channels and information sources used and preferred by clientele and the public during disasters. Such results should be compared to the findings of this study to inform future practice for communication in disasters.
Dobson, A.D.M. (author), Milner-Gulland, E.J. (author), Aebischer, Nicholas J. (author), Beale, Colin M. (author), Brozovic, Robert (author), Coals, Peter (author), Critchlow, Rob (author), Dancer, Anthony (author), Grove, Michelle (author), Hinsley, Amy (author), Ibbett, Harriet (author), Johnston, Alison (author), Kuiper, Timothy (author), Le Comber, Steven (author), Mahood, Simon P. (author), Moore, Jennifer F. (author), Nilsen, Erlend B. (author), Pocock, Michael J.O. (author), Quinn, Anthony (author), Travers, Henry (author), Wilfred, Paulo (author), Wright, Joss (author), and Keane, Aidan (author)
Format:
Journal article
Publication Date:
2020
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 167; Folder: 201 Document Number: D11695
11 pages., Authors present an overview of the opportunities and limitations associated with messy data which conservationists increasingly use (e.g., citizen science records, ranger patrol observations). They also explain how the preferences, skills, and incentives of data collectors affect the quality of the information these data contain and the investment required to unlock their potential.
11 pages, via Online journal, The Soil Vulnerability Index (SVI) was developed by the USDA Natural Resources Conservation Service (NRCS) to identify inherent vulnerability of cropland to runoff and leaching. It is a simple index that relies on the SSURGO database and can be used with basic knowledge of ArcGIS. The goal of this study was to investigate a relationship between constituent (sediment and nutrient) loadings and fraction of the watershed in each SVI class. The SVI maps were developed for each of the seven subwatersheds of the Mark Twain Lake watershed in Missouri, which were similar in soil conditions and climatic variability. The SVI assessment was performed by investigating if the distribution of the SVI for cropland in each subwatershed could help explain measured 2006 to 2010 sediment and nutrient loads better than crop distribution alone. Regression analyses were performed between annual loads of sediment and nutrients exported from the watersheds and a composite number that included either cropland distribution alone, or cropland distribution combined with the SVI. Coefficients of determination and p-values were compared to assess the ability of land use and SVI distributions to explain stream loads. Integrating the SVI in the land cover variable improved the ability to explain constituent loads in the watersheds for sediment, total nutrients, and dissolved nitrogen (N). Regression results with and without the SVI were identical for dissolved phosphorus (P), potentially indicating that SVI was not indicative of dissolved P transport at the current site. Overall, the application of the SVI at watershed scale was not perfect, but acceptable at correctly identifying cropland of greatest vulnerability and linking with transported constituent loads.
2 pages., In a preview of this issue about "messy data in conservation," the author links messy data to related topics in conservation and urges a trans-disciplinary embrace of messiness to accelerate conservation progress.
20 pages., Via online from the University of Illinois website., Authors' review provided an overview of the data sources, computational methods, and applications of text data in the food industry. Applications of text data analysis were illustrated with respect to food safety and food fraud surveillance, dietary pattern characterization, consumer-opinion mining, new-product development, food knowledge discovery, food supply-chain management, and online food systems.
Summarizes results of a non-farmer survey documenting how each of five stages of the agricultural and food business value chain is evolving in terms of data collection and use.
26 pages, via online journal, Purpose
This paper is concerned with the impact of the University of California Cooperative Extension (UCCE) on regional productivity in California agriculture. UCCE is responsible for agricultural research and development (R&D), and dissemination of agricultural know-how in the state.
Method/methodology/approach
We estimate the effect of UCCE on county-level agricultural productivity for the years 1992–2012, using an agricultural production function with measures of agricultural extension inputs alongside the traditional agricultural production inputs at the county level.
Findings
Results show a positive impact of UCCE through its stock of depreciated expenditures. For an additional dollar spent on UCCE expenditures stock, agricultural productivity, measured as value of sales at the county level, improves by $1–9 per acre of farmland for knowledge/expenditure depreciation rates between 0 and 20 percent.
Practical implications
Results suggest that county differences in productivity could affect extension expenditures. The high level of contribution found in the results would be especially useful during a period of political pressure to reduce public spending for agricultural extension in the state.
Theoretical implications
Theoretical implications suggest that agricultural systems with higher level of knowledge depreciation are associated with higher resulting incremental agricultural productivity per an additional dollar spent on UCCE expenditures stock. This suggests that extension policy should consider also the agricultural system (crop mix).
Originality
We use original budgetary data that was collected especially for answering our research questions from archives of UCCE. We estimate impact of extension at the county level in California, on the value of agricultural sales (of crops and livestock). We developed an extension expenditure stock, using current and past expenditures data, and different depreciation rates, following the theory of Knowledge Production Function.
6 pages., via online journal., ICT has been initiated and implemented effectively by the
public private partnership, government, researchers and various
Institutions. Availability of wireless service, Internet and mobile
communication have forced ICT to find foothold in daily routine
of the Indian farmers. ICT has huge impact in agricultural
development but still in natal stage. Many farmers are not availing
the actual potential of ICT due to poverty, social constraint,
illiteracy, language barriers and unwillingness to adopt new
technology. Many Indian farmers have reported positive change
in income, quality of produce and timely access to the market
information by using latest mobile application. WhatsApp is the
most popular and easy to use Mobile Instant Messaging service
amongst the Indian farmer. It supports sharing of localized
information and utilizing these services as query redressal
public platform. This paper is an attempt to gather meaningful
agricultural data for analysis and filtering of relevant need based
information assessment. The main focus of the present work is to
develop an automatic information handling and redressal of the
need based agricultural information system using WhatsApp as
social media platform.
Ferguson, Bruce G. (author), Morales, Helda (author), Chung, Kimberly (author), Nigh, Ron (author), and El Colegio de la Frontera Sur
Centro de Investigaciones y Estudios Superiores en Antropología Social
Michigan State University
Format:
Online journal article
Publication Date:
2019-03-26
Published:
Mexico: Taylor & Francis
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 109 Document Number: D10984
21 pages, 21 pages, We explore potential and limitations for agroecological scaling through formal education, using the LabVida school gardens program in Chiapas, Mexico as a case study. Through LabVida training, educators gained an appreciation of agroecology and learned to apply agroecological practices, although their understanding of agroecological principles and scientific process remained limited. The greatest program impact was on educators’ eating habits, and their perception of the value of local knowledge and its relevance to school work. The case study demonstrates the potential of garden and food-system work to leverage institutional resources in ways that can improve educational outcomes, including agroecological literacy. Increased awareness of agroecology and the value of local knowledge may intersect with other drivers of scaling, including markets, organizational fabric, and policy.
Axelson J. (author), Battles J. (author), Bulaon B. (author), Cluck D. (author), Cousins S. (author), Cox L. (author), Estes B. (author), Fettig C. (author), Hefty A. (author), Hushinuma S. (author), Hood S. (author), Kocher S. (author), Mortenson L. (author), Koltunov A. (author), Kuskulis E. (author), Poloni A. (author), Ramirez C. (author), Restaino C. (author), Slaton M. (author), Smith S. (author), and Tubbesing C. (author)
Format:
Online journal article
Publication Date:
2019-03-11
Published:
USA: University of California
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 16 Document Number: D10456
10 pages., via online journal, The collaboration helps to coordinate research on the extent and nature of tree mortality and gets the results to forest managers quickly.
11 pages., Via online journal article, OBJECTIVES: To examine the impact of social media influencer marketing of foods (healthy and unhealthy) on children’s food intake.
METHODS: In a between-subjects design, 176 children (9–11 years, mean 10.5 ± 0.7 years) were randomly assigned to view mock Instagram profiles of 2 popular YouTube video bloggers (influencers). Profiles featured images of the influencers with unhealthy snacks (participants: n = 58), healthy snacks (n = 59), or nonfood products (n = 59). Subsequently, participants’ ad libitum intake of unhealthy snacks, healthy snacks, and overall intake (combined intake of healthy and unhealthy snacks) were measured.
RESULTS: Children who viewed influencers with unhealthy snacks had significantly increased overall intake (448.3 kilocalories [kcals]; P = .001), and significantly increased intake of unhealthy snacks specifically (388.8 kcals; P = .001), compared with children who viewed influencers with nonfood products (357.1 and 292.2 kcals, respectively). Viewing influencers with healthy snacks did not significantly affect intake.
CONCLUSIONS: Popular social media influencer promotion of food affects children’s food intake. Influencer marketing of unhealthy foods increased children’s immediate food intake, whereas the equivalent marketing of healthy foods had no effect. Increasing the promotion of healthy foods on social media may not be an effective strategy to encourage healthy dietary behaviors in children. More research is needed to understand the impact of digital food marketing and inform appropriate policy action.
Online from publisher website. 5 pages., Describes a new Food Trust Consortium , run by IBM, using blockchain technologies to improve food traceability.
New-Aaron, Moses (author), Semin, Jessica (author), Duysen, Ellen G. (author), Madsen, Murray (author), Musil, Kelsie (author), and Rautiainen, Risto H. (author)
Format:
Journal article abstract
Publication Date:
2019
Published:
USA: Taylor & Francis
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 25 Document Number: D10537
8 pages., via online journal., The Bureau of Labor Statistics (BLS) publishes annual statistics on occupational injuries and fatalities in the United States. The BLS fatality data include all agricultural workers while the non-fatal injury data only cover hired employees on large farms. In 2012, the Central States Center for Agricultural Safety and Health (CS-CASH) began collecting regional media monitoring data of agricultural injury incidents to augment national statistics. The aims of this report were: a) to compare CS-CASH injury and fatality data collected via print and online sources to data reported in previous studies, and b) to compare fatality data from media monitoring to BLS Census of Fatal Occupational Injuries (CFOI) data. CS-CASH media monitoring data were collected from a news clipping service and an internet detection and notification system. These data covered years 2012–2017 in seven Midwestern states (Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota). CS-CASH occupational fatality data were compared with aggregate CFOI data for the region during 2012–2015. Media monitoring captured 1048 injury cases; 586 (56%) were non-fatal and 462 (44%) were fatal. The numbers of occupational fatality cases from media monitoring and CFOI were nearly identical (280 vs. 282, respectively), and the distributions by type of injury were similar. Findings suggest that media monitoring can capture equal numbers of fatalities compared to CFOI. Non-fatal injuries, not captured by national surveillance systems, can be collected and tracked using print and electronic media. Risk factors, identified in media sources, such as gender, age, time, and source of the incident are consistent with previously reported data. Media monitoring can provide timely access to detailed information on individual cases, which is important for detecting unique and emerging hazards, designing interventions and for setting policy and guiding national strategies.
16 pages., Via online journal., Expertise is dynamic, domain specific, and characterized according to an individual’s level of knowledge, experience, and problem-solving ability. Having expertise in the phenomenon under investigation can be used as an indicator of an individual’s aptitude to effectively serve as a coder in a content analysis or as panelist in a Delphi study. The purpose of this study was to assess 10 years of scholarship published in the premier journals of agricultural education and describe the ways researchers in agricultural communications, education, extension, and leadership disciplines who use content analysis and Delphi study methods are describing the qualifications of the people serving as expert coders and panelists. The study findings revealed the majority of researchers publishing in the premier agricultural education journals are not describing the qualifications used in selecting coders or the credentials the coders possess that would make them qualified to code the data in a content analysis. Furthermore, researchers were inconsistent citing literature that supported their selection of content analysis coders and citing literature to support a decision to describe or not to describe coders’ qualifications. However, a description of Delphi study panelists’ qualifications and citations to support why panelists were selected in a Delphi study were present in all of the Delphi studies analyzed over the 10-year period. Based on these findings, it was concluded that ACEEL researchers should include a description of coder credentials to enhance the consistency, transparency, replicability, rigor, and integrity of ACEEL research. Editors and research professionals who perform journal article reviews for the premier agricultural education journals are encouraged to note the exclusion of a description of content analysis coders’ credentials as part of the peer review process.
1 page., September-November issue via online., Report on a drone service, WeFly Agri, "to help farm and plantation owners regain control of their land."
Online via publisher website., This paper proposes a food safety traceability system based on the blockchain and the EPC Information Services and develops a prototype system.
2 pages, via online magazine archive, Several years ago, Farm Market iD saw that agribusinesses were struggling to use to the data and insights at their disposal to understand how they were performing in the market and needed modern-day data science to power decision-making. Given Farm Market iD's unique and powerful data and our ability to contextualize data to understand and interpret the agricultural market, we knew we had something valuable to offer.
8 pages, via online journal, Rose (Rosa ×hybrida) breeders historically have bred plants based on what they personally have deemed attractive and traits required by growers to produce the crop successfully. End-user preferences were not formally considered in breeding decisions. The purpose of this study was to investigate growers’ and consumers’ opinions of roses available on the market and preferences for future roses coming into the market. A web-based survey tool was developed to measure the attributes consumers were considering in purchasing and growing rose plants, their knowledge of diseases and pests, and their hopes for new plants coming to market. A link was sent to horticultural group mailing lists as well as distributed through personal e-mail lists, Facebook, and a news release from Texas A&M University. The survey was posted for 4 months. It included ≈66 questions and took 30 minutes or more to complete. More than 2000 responses were received from rose growers and nursery consumers worldwide. The respondents preferred roses that were disease resistant, with fragrant, abundant, red, and everblooming flowers. The ideal height of the preferred rose shrubs was waist to shoulder-height. Differences were found in preferences between experienced rose growers and those who were not affiliated with rose associations on variables such as the need to use chemicals to manage diseases, the importance of foliage glossiness and large vs. small blooms, the value of roses in the garden setting, the level of difficulty roses pose in growing situations, and the willingness to pay more for a rose shrub in comparison with other garden plants. Differences also were found among age groups and preferences for flower color, fragrance, foliage color, and foliage glossiness. This information could be helpful in targeting marketing of roses.
17 pages, Modern agriculture is facing unique challenges in building a sustainable future for food production, in which the reliable detection of plantation threats is of critical importance. The breadth of existing information sources, and their equivalent sensors, can provide a wealth of data which, to be useful, must be transformed into actionable knowledge. Approaches based on Information Communication Technologies (ICT) have been shown to be able to help farmers and related stakeholders make decisions on problems by examining large volumes of data while assessing multiple criteria. In this paper, we address the automated identification (and count the instances) of the major threat of olive trees and their fruit, the Bactrocera Oleae (a.k.a. Dacus) based on images of the commonly used McPhail trap’s contents. Accordingly, we introduce the “Dacus Image Recognition Toolkit” (DIRT), a collection of publicly available data, programming code samples and web-services focused at supporting research aiming at the management the Dacus as well as extensive experimentation on the capability of the proposed dataset in identifying Dacuses using Deep Learning methods. Experimental results indicated performance accuracy (mAP) of 91.52% in identifying Dacuses in trap images featuring various pests. Moreover, the results also indicated a trade-off between image attributes affecting detail, file size and complexity of approaches and mAP performance that can be selectively used to better tackle the needs of each usage scenario.
9 pages., Via online journal., Food labels legislated by the U.S. government have been designed to provide information to consumers. It has been asserted that the simple disclosures “produced using genetic engineering” on newly legislated U.S. food labels will send a signal that influences individual preferences rather than providing information. Vermont is the only US state to have experienced mandatory labeling of foods produced using genetic engineering (GE) via simple disclosures. Using a representative sample of adults who experienced Vermont’s mandatory GE labeling policy, we examined whether GE labels were seen by consumers and whether the labels provided information or influenced preferences. Nearly one-third of respondents reported seeing a label. Higher income, younger consumers who search for information about GE were more likely to report seeing a label. We also estimated whether labels served as information cues that helped reveal consumer preferences through purchases, or whether labels served as a signal that influenced preferences and purchases. For 50.5% of consumers who saw a label, the label served as an information cue that revealed their preferences. For 13% of those who saw the label, the label influenced preferences and behavior. Overall, for 4% of the total sample, simple GE disclosures influenced preferences. For a slight majority of consumers who used a GE label, simple disclosures were an information signal and not a preference signal. Searching for GE information, classifying as female, older age and opposing GE in food production significantly increased the probability that GE labels served as an information source. Providing such disclosures to consumers may be the least complex and most transparent option for mandatory GE labeling.
20 pages; Article 3, via online journal, Student-run publications, including newsrooms and similar agency-style work achieve the curricular goal of experiential learning (Roberts, 2006) for university agricultural communication students. Gaining a journalistic skillset in the classroom is richly supplemented with experiencing real-world and authentic agency immersion to reveal to students the genuine characteristics of a workplace. The purpose of this study was to use Q methodology to evaluate a real-world, out-of-class-but-supervised newsroom producing publications for the State FFA Convention. Fifteen undergraduate students who were immersed in this three-day program in which students publish original work to disseminate information to FFA participants and the public participated in the study at the end of the newsroom experience. With a concourse sampled along four dimensions of growth and development (Author, 2014), a Q set of 36 statements was sorted. In addition to the Q sorts, comments gathered from the students at the last session assisted in the interpretation of data. Post-sort interviews were conducted with exemplar sorters. Data were analyzed using principal components and varimax rotation and interpreted to show three ways the newsroom was experienced by the university students. The Supervisors honed managerial skills while working as colleagues with faculty supervisors. The Contented Staff valued the education gained from the experience and recognized the practical application of the communications-based skill-set. The Stressed Staff had insecurities and physical discomfort during the work and living in the city. Implications for program development, classroom instruction, and field experience assessment will be discussed.
16 pages, via online journal, Buying local food has become an increasingly popular way for consumers to engage with those who grow their food; however, research has shown a specific audience tends to buy local food due to individual-specific barriers. To better understand what motivates consumers to buy local food the Theory of Planned Behavior was used as a way to potentially predict consumers’ behavior toward buying locally grown blueberries. Also, the variables of past experience and self-identity/moral obligation toward buying local food were introduced to the model since both variables may increase the predictability of the Theory of Planned Behavior model in certain food-related behaviors. This study used an online survey completed by 1,122 respondents, from a sample frame of all consumers in Florida. The study used a non-probability sample of an opt-in panel, and weighting procedures were applied to the data to account for coverage errors associated with using a non-probability sample. The interaction of consumers’ past experience and self-identity/moral obligation was found to help explain consumers’ intention to buy locally grown blueberries when added to the Theory of Planned Behavior. The Theory of Planned Behavior was shown to predict consumers’ intention to buy locally grown blueberries; however, their intent was better explained with the inclusion of the variables of past experience and self-identity/moral obligation toward buying local blueberries. Recommendations for future research and application include future research into other variables that may impact buying behavior and inclusion of these variables in future communication efforts focused on consumers buying and engaging with local food.
Randolph, Levy (author), Rumble, Joy (author), and Carter, Hannah (author)
Format:
Paper abstract
Publication Date:
2018-02
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 199 Document Number: D10008
Notes:
Abstract of paper presented at the National Agricultural Communications Symposium, Southern Association of Agricultural Scientists (SAAS) Agricultural Communications Section, Jacksonville, Florida, February 4-5, 2018.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 151 Document Number: D10052
Notes:
3 pages., Correspondence via email., Recommends that agricultural communications students take course work to learn how to do statistical tests and interpret the results of others' research.
15 pages, via online journal article, Scientist-stakeholder partnerships are formed by scientists from academic institutions and industry representatives in an effort to address contingent science issues such as climate change, inform the public and influence public policies. Such organizations often lack expertise in communicating to the public and conducting outreach which are crucial components to building a good reputation. This study selected Florida Water and Climate Alliance [FWCA] as an example of such an organization, exploring its media attention and media framing to assess the visibility and reputation of [FWCA]. Results showed very limited media attention had been devoted to [FWCA]. The framing analysis results indicated that the coverage of [FWCA] is mostly introductory and descriptive information from public institutions, collaborators and funding agencies. These results demonstrate the need for such organizations to increase media visibility and build their reputations through strategic communication. Scientist-stakeholder partnership organizations like FWCA could gain from strategic collaborations with agricultural communications professionals and academic researchers. To better assist in building the reputation for these organizations, recommendations include developing strategic communication plans and conducting research about stakeholders’ and collaborators’ perceptions of an organization’s reputation.
11 pages., Online via UI electronic subscription, Authors examined ethical issues arising from the collection, management and analysis of data, as well as those faced by researchers as they formulate, fund and disseminate their research. They paid special attention to ethical issues such as data dredging or p-hacking and potential ethical issues arising from interaction with media.
20 pages, via online journal, Purpose: This paper examines the factors affecting farmers’ participation in extension programs and adoption of improved seed varieties in the hills of rural Nepal.
Methodology/approach: Cross-sectional farm-level data were collected during July and August 2014. A sample of 198 farm households was selected for interviewing by using a multistage, random sampling technique. We employed a logistic regression model, frequency counts, and percentages to analyze the data.
Findings: Adoption decisions were mainly affected by extension-related variables – training, membership in a farmers’ group, and off-farm employment. Extension participation was found to be influenced by socioeconomic variables – age, education, household size, and distance to the extension office. Our findings reveal that distance to the extension office and off-farm employment limited participation in extension activities and adoption, respectively, and education, household size, and group membership stimulated participation in extension programs.
Practical implications: Recognition of the determinants of farmers’ participation in extension services and innovation adoption ensures that targeted extension approaches are used to address these factors in various stages of planning, delivering, and evaluating extension programs.
Theoretical implications: Innovation adoption follows a systematic decision-making process. Although personal characteristics are important, widespread use of new technology requires a conducive social and institutional context. Because contexts vary by country or region, extension services providers should create institutions favorable for innovation adoption within a social system.
Originality/value: This research is original and highly valuable to identify the factors associated with extension participation and innovation adoption in the rural hilly region of Nepal. This also provides a new direction to operationalize farmer-oriented policies of agricultural extension and so can be helpful for agricultural policy-makers in devising programs of extension services.
16 pages., via online journal, The sustainable intensification of animal production systems is increasing as a consequence of increased demand for foods originating from animals. Production diseases are particularly endemic in intensive production systems, and can negatively impact upon farm animal welfare. There is an increasing need to develop policies regarding animal production diseases, sustainable intensification, and animal welfare which incorporate consumer priorities as well as technical assessments of farm animal welfare. Consumers and/or citizens may have concerns about intensive production systems, and whether animal production disease represent a barrier to consumer acceptance of their increased use. There is a considerable body of research focused on consumer willingness-to-pay (WTP) for improved animal welfare. It is not clear how this relates specifically to a preference for reduced animal production disease incidence in animal production systems. A systematic review and meta-analysis were conducted to establish the publics’ WTP for farm animal welfare, with a focus on production diseases which arise in intensive systems. Systematic review methodology combined with data synthesis was applied to integrate existing knowledge regarding consumer WTP for animal welfare, and reduced incidence of animal production diseases. Multiple databases were searched to identify relevant studies. A screening process, using a set of pre-determined inclusion criteria, identified 54 studies, with the strength of evidence and uncertainty for each study being assessed. A random effects meta-analysis was used to explore heterogeneity in relation to a number of factors, with a cumulative meta-analysis conducted to establish changes in WTP over time. The results indicated a small, positive WTP (0.63 standard deviations) for farm animal welfare varying in relation to a number of factors including animal type and region. Socio-demographic characteristics explained the most variation in the data. An evidence gap was highlighted in relation to reduced WTP for specific production diseases associated with the intensification of production, with only 4 of the 54 studies identified being related to this. A combination of market and government based policy solutions appears to be the best solution for improving farm animal welfare standards in the future, enabling the diverse public preferences to be taken into consideration.
Huysveld, Sophie (author), Van Meensel, Jef (author), Van linden, Veerle (author), De Meester, Steven (author), Peiren, Nico (author), Muylle, Hilde (author), Dewulf, Jo (author), and Lauwers, Ludwig (author)
Format:
Journal article
Publication Date:
2017-01
Published:
Belgium: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 161 Document Number: D07798
22 pages, via online journal, Marketers rate online video as their most utilized content medium. This study used a between-subject control group post-test-only experiment to investigate the effect of three local food messages delivered via online video on U.S. consumers’ attitudes toward local food. The three 30-second videos each featured one of the documented benefits of local food: high quality, support of local economy, and strengthening of social connection. Results indicated all three video treatments yielded a positive attitude toward local food, while respondents in the control group had a neutral attitude. The video treatment featuring local food’s high quality generated a significantly more favorable local food attitude than the other two video treatments. Although the social connection video treatment generated a positive attitude toward local food based on the real limits, it did not significantly differentiate from the control group. Communicators should consider using similar short, online videos for emphasizing the high quality of local food and its support of the local economy to promote local agricultural products. Future research should pair live-action or animated footage with the same messages in the video treatments to identify messages effectiveness. Researchers should also investigate why some individuals respond to local food’s benefit of social connection more readily than the others, and identify strategies to use social connection media frame to promote local food.
13 pages, via online journal, Photography is an important competency of agricultural communications graduates and is a core skill taught in the discipline’s curriculum. The [department] at [university] offers an undergraduate photography course twice yearly in two semester formats: a traditional spring semester where photography principles are taught in the classroom and a 12-day experiential intersession semester that allows for flexibility in how and where the course is taught. Both semesters utilize the same instructor, assignments, and grading rubric. While much agricultural communications research has focused on photography as a needed skill, few studies examine photography teaching methods. The purpose of this study was to compare student performance in an agricultural communications digital photography course taught with an experiential learning approach to a traditional classroom approach during the 2016 and 2017 academic calendar years. Kolb’s (1984) experiential learning theory was used as the theoretical framework for this study. Independent-samples t-tests were conducted to compare students’ cumulative mean assignment scores, individual assignment mean scores, and rubric criteria mean scores within the two instruction formats. The results suggest instruction method has an effect on student performance in agricultural communications digital photography courses. Students in the experiential intersession course had significantly higher mean cumulative assignment scores compared to students in the traditional course. While individual assignment performance was less affected by instruction format, students’ understanding of specific photography skills (rubric criteria), especially composition and clarity was higher when in the experiential intersession format.
