Starling, John T. (author), Ware, Brooks (author), and Starling: Department of Agricultural Education, The Ohio State University, Columbus, OH; Ware: Farm Business Analysis Teacher, Upper Valley Joint Vocational School, Piqua, OH
Format:
Journal article
Publication Date:
1978-04
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 49 Document Number: C00164
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.
Online from publisher website. 5 pages., Describes a new Food Trust Consortium , run by IBM, using blockchain technologies to improve food traceability.
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.
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.
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.
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.
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.
Chizari, Mohammad (author) and Dinpanah, Gholamreza (author)
Format:
Proceedings
Publication Date:
2005-05-25
Published:
Iran
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 152 Document Number: C24575
Journal Title Details:
21
Notes:
James J. Connors of The Ohio State University edited the proceedings., 9 p. Paper presented at the International Agricultural and Extension Education group's 21st annual conference May 25-31, 2005, in San Antonio, TX
Henderson, Peter L. (author / Agricultural Economist, Market Development Branch, Economic Research Service, USDA) and Agricultural Economist, Market Development Branch, Economic Research Service, USDA
Format:
Conference paper
Publication Date:
1964
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 45 Document Number: B05469
Notes:
Evans, AgComm teaching, Mimeographed, 1964. 5 p. Presented at the American Statistical Association Alumni Meeting, Chicago, IL, December 27-30, 1964.
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.
Akers, Cindy (author), Davis, Chad S. (author), Fraze, Steve (author), Campbell, Meredith (author), and Doerfert, David (author)
Format:
Research paper
Publication Date:
2006-02-04
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 149 Document Number: C24006
Notes:
24 p. Paper presented at the Southern Association of Agricultural Scientists' 103rd annual meeting in Orlando, Fla. [Agricultural Communications Section].
Milne, Alice E. (author), Glendining, Margaret J. (author), Lark, Murray (author), Perryman, Sarah A.M. (author), Gordon, Taylor (author), and Whitmore, Andrew P. (author)
Format:
Journal article
Publication Date:
2015-09-01
Published:
United Kingdom: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 162 Document Number: D07993
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
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.
19 pages., Online via UI e-subscription, Authors collected consumer data to understand the heterogeneity of consumer behavior and store competition in grocery shopping. Marketing research techniques were used to analyze consumers' decision processes and their preference models.
Chern, Wen S. (author), Hushak, Leroy J. (author), Tweeten, Luther (author), and Department of Agricultural Economics and Rural Sociology, The Ohio State University, Columbus, OH
Format:
Book chapter
Publication Date:
1992
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 90 Document Number: C06500
Notes:
James F. Evans Collection; See C06498 for book, In: Rueben C. Buse and James L. Driscoll, eds. Rural Information Systems: New Directions in Data Collection and Retrieval, 1992. Ames, IA: Iowa State University Press. p. 118-213
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.
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.
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.
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.
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.
Dorward, Andrew R. (author), Rehman, T. (author), and University of Reading, Reading, Great Britain, Dept of Agriculture and Horticulture; University of Reading, Reading, Great Britain, Dept of Agriculture and Horticulture
Format:
Journal article
Publication Date:
1984
Published:
UK
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 52 Document Number: C00595
