16 pages., via online journal., The goal of this study was to evaluate a radio program as a source of agricultural information and examine the relationship between specific socioeconomic characteristics and listenership. The findings revealed that half of the farmers listen to the radio program, while older farmers are more likely to be listeners. Moreover, there are no significant differences between listeners and nonlisteners with respect to education level. More focus should be given to mountainous and less favored areas where more traditional information sources prevail. It is strongly recommended that the broadcast be sustained and improved based on farmers' suggestions and be regularly assessed.
Subhead: "Are the many alliances and acquisitions among platforms really designed to benefit farmers?" ... "While a data-sharing platform may put growers in the driver's seat when it comes to how their information is distributed, ag tech providers have not always done a good job of communicating that message. 'Problems arise when owners of the data feel as though they no longer understand who is accessing their data and why,' Tatge says."
12 pages, Notable differences have been observed in how society perceives and understands the agricultural industry. Consumers today are concerned with how their food is raised and produced, and drastic changes in how information is gathered regarding those subjects have occurred due to the rapid development of digital media. As a result, the agricultural industry has fallen behind in ensuring accurate information is shared about the daily work done to feed the world. A form of digital media that has infiltrated the daily lives of society is social media (SM). This study sought to evaluate the impact established agricultural social media influencers (SMIs) on Instagram can have on changing participants' perceived knowledge regarding several agricultural topics. Participants were recruited through the platform Prolific and were asked to complete an anonymous Qualtrics survey. Survey questions were asked before and after participants were shown example images of agricultural SMIs. Data collected were analyzed utilizing IBM SPSS (Version 28) to compare pre-image and post-image results to determine the contents' impact on participants' perceived knowledge of subjects relating to agriculture. Results indicated significant differences between the pre-image and post-image perceived knowledge results and between different forms of reported engagement willingness.
14 pages., Article #:3FEA9, via online journal., This article reports on a study to determine which information sources organic growers use to inform farming practices by conducting in-depth semi-structured interviews with 23 organic farmers across 17 North Carolina counties. Effective information sources included: networking, agricultural organizations, universities, conferences, Extension, Web resources, personal experience, books, organic buyers/certifiers, and consultants. Results suggest that grower-to-grower networking is a highly effective information-seeking behavior for organic growers. Recommendations for Extension personnel include reshaping educational programing for organic growers to include peer-to-peer information sharing, as well as increased investment to graduate and undergraduate programs that train future Extension agents in organic production approaches.
Hoddinott, John (author) and Centre for the Study of African Economies, University of Oxford
Format:
Conference paper
Publication Date:
2002
Published:
United Kingdom
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C28220
Notes:
Posted online at http://www.csae.ox.ac.uk/conferences/2002-UPaGiSSA/papers/Hoddinott2-csae2002.pdf, Presented at "Understanding poverty and growth in sub-Saharan Africa," a conference at the University of Oxford from March 18-19, 2002.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 30 Document Number: D10562
Notes:
3 pages., via blog from Janzen Ag Law - online via AgriMarketing Weekly., Since big data arrived in agriculture a few years ago, I have watched companies struggle with how to address farmers' concerns with ag data privacy, security, and control. Some companies have started with a clean sheet of paper and drafted agreements that reflect what they actually do. Others have taken a short cut by cutting and pasting agreements from other industries. The result is that contracts for ag data collection, use and sharing are inconsistent and often miss the point-to communicate the company's intentions with users.