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2. "You call that meat?" Investigating social media conversations and influencers surrounding cultured meat
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Specht, Annie R. (author), Rumble, Joy N. (author), Buck, Emily B. (author), and Association for Communication Excellence The Ohio State University
- 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: D11302
- Journal Title:
- Journal of Applied Communications
- Journal Title Details:
- 104(1)
- Notes:
- 23 pages., via online journal, Cultured meat has yet to reach store shelves but is nonetheless a growing issue for consumers, producers, and government regulators, many of whom have taken to social media to discuss it. Using a conceptual framework of social cognitive theory and issues management, this qualitative content analysis investigated social-media discourse surrounding the topic of cultured meat in the United States by describing the content of the discussion in late 2018 and identifying individual influencers and communities of influencers engaged in the discussion. Data were collected from Twitter using listening platform Sysomos MAP. The thematic analysis revealed eight themes: legality and marketing, sustainability, acceptance, business, animal concerns, science and technology, health concerns, and timeline, and indicated that conflicting views and questions about cultured meat exist among conversation participants. Top influencers included philanthropists, government officials, journalists and writers, and animal-welfare advocates. These influencers were grouped into four distinct communities based on interactions with each other and other users. The topics identified in the analysis provide insight into ways in which communicators can enter these conversations, and influencer communities represent groups of users whose broad reach could more easily transmit pro-agriculture messages.
3. 5G is coming: here's what it means
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Weis, Dusty (author / Association of Equipment Manufacturers)
- Format:
- Journal article
- Publication Date:
- 2019-11
- Published:
- USA
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 121 Document Number: D11101
- Journal Title:
- Agri Marketing
- Journal Title Details:
- 57(8) : 30, 32
- Notes:
- 2 pages., Overview of 5G network technology and what it will mean to the agricultural equipment industry.
4. A survey on deep learning and its impact on agriculture: challenges and opportunities
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Albahar, Marwan (author)
- Format:
- Review
- Publication Date:
- 2023-02-23
- Published:
- Switzerland: MDPI
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12827
- Journal Title:
- Journal of Agriculture
- Journal Title Details:
- Vol. 13, Iss. 3
- Notes:
- 22 pages, The objective of this study was to provide a comprehensive overview of the recent advancements in the use of deep learning (DL) in the agricultural sector. The author conducted a review of studies published between 2016 and 2022 to highlight the various applications of DL in agriculture, which include counting fruits, managing water, crop management, soil management, weed detection, seed classification, yield prediction, disease detection, and harvesting. The author found that DL’s ability to learn from large datasets has great promise for the transformation of the agriculture industry, but there are challenges, such as the difficulty of compiling datasets, the cost of computational power, and the shortage of DL experts. The author aimed to address these challenges by presenting his survey as a resource for future research and development regarding the use of DL in agriculture.
5. AGRICULTURE EXTENSION OFFICERS’ ATTITUDE AND READINESS IN USING INFORMATION AND COMMUNICATION TECHNOLOGY IN INDONESIA
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Sutrisno Hadi, Purnomo (author), Ayu Intan, Sari (author), Shanti, Emawati (author), Endang Tri, Rahayu (author), and Rani Pane, Triaswati (author)
- Format:
- Journal article
- Publication Date:
- unknown
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12218
- Journal Title:
- Russian Journal of Agricultural and Socio-Economic Sciences
- Journal Title Details:
- Vol.100(4)
- Notes:
- 5 pages., This research aimed to figure out the attitude and readiness of agriculture extension officers in using the Information and Communication Technology. Data collection was done through a survey with total sample 60 respondents. Data gained were primary data from questionnaire filling by respondents who were all extension officers in Food Security and Extension Implementation Agency. Data analyses used in this research were reliability and validity analysis, Fishbein’s Attitude Model, and regression analysis which continued with F and t test. The results of Validity and Reliability Test gave a valid outcome with rcal >0,3 and reliability value of α >0,6 in all variables. Fishbein’s Attitude Model test in all variables showed an answer from neutral to very positive data. Linear Regression Test resulted in an equation Y = -6,234+ 0,211 X1 + 0,213X2 + 0,550 X3 + 0,119 X4 + 1,252X5 + 0,665X6. The value of determination coefficient (R2) was 0,816 which meant that variable variance of Information and Communication Technology acceptance could be explained by data variance of extension officers’ attitude and readiness (farmer readiness, extension officers readiness, infrastructure, management support, culture support) in values of 81,6%. In F test, Fcal was = 44,683 and was significant in p < 0,05, which meant that the effects of extension officers’ attitude and readiness to Information and Communication Technology acceptance.
6. AI for social good: unlocking the opportunity for positive impact
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Tomašev, Nenad (author), Mohamed, Shakir (author), Teh, Yee Whye (author), Schaul, Tom (author), Cornebise, Julien (author), Hutter, Frank (author), Picciariello, Angela (author), Connelly, Bec (author), Snyder, Kyle (author), Belgrave, Danielle C. M. (author), Ezer, Daphne (author), Cachat van der Haert, Fanny (author), Mugisha, Frank (author), Abila, Gerald (author), Arai, Hiromi (author), Otake-Matsuura, Mihoko (author), Emtiyaz Khan, Mohammad (author), Almiraat, Hisham (author), Proskurnia, Julia (author), Othman, Mustafa (author), Glasmachers, Tobias (author), de Wever, Wilfried (author), De Winne, Ruben (author), and Clopath, Claudia (author)
- Format:
- Journal article
- Publication Date:
- 2020-05-18
- Published:
- UK: Nature Portfolio
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 207 Document Number: D13090
- Journal Title:
- Nature Communications
- Journal Title Details:
- V.11, N.2468
- Notes:
- 6 pages, Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world’s most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations’ 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centered around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good.
7. Accounting for Risk and Stability in Technology Adoption
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Hoag, Dana L. (author) and Engler-Palma, Alejandra (author)
- Format:
- Journal article
- Publication Date:
- unknown
- Published:
- Canada
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 160 Document Number: C26186
- Journal Title:
- Canadian Journal of Agricultural Economics
- Journal Title Details:
- 55 (2007) pp. 365-379
8. Advances in American agriculture: the mechanical tomato harvester as a case study
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Rasmussen, W.D. (author)
- Format:
- unknown
- Publication Date:
- unknown
- Published:
- USA
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 45 Document Number: B05518
9. Ag groups release research measuring consumers' knowledge, perception of gene editing
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Format:
- Research summary
- Publication Date:
- 2020
- Published:
- USA
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 136 Document Number: D11432
- Notes:
- 2 pages., Online from AgriMarketing Weekly. News release of March 16, 2020., Brief summary of results of a consumer research study measuring market potential for gene-edited food and agriculture products. Research was sponsored by the FMI Foundation, American Seed Trade Association, American Farm Bureau Federation, and Farm Foundation.
10. Ag industry game changers
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Gale, Mark (author)
- Format:
- Journal article
- Publication Date:
- 2019-11
- Published:
- USA
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 121 Document Number: D11103
- Journal Title:
- Agri Marketing
- Journal Title Details:
- 57(8) : 44
- Notes:
- 1 page., Author describes five technologies with potential to change the future of ag and food industries, all with communications dimensions.