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.
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.
Bernardo, F.A. (author / Director, SEARCA, Los Banos, Laguna, Philippines; and President, the Asian Association of Agricultural Colleges and Universities (AAACU) YR 1985) and Director, SEARCA, Los Banos, Laguna, Philippines; and President, the Asian Association of Agricultural Colleges and Universities (AAACU) YR 1985
Format:
Conference paper
Publication Date:
unknown
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 54 Document Number: C01136
Notes:
AgComm Teaching; See also ID C01252 to C01275, In: Symposium on education for agriculture; 1984 November 12-16; Manila, Philippines. Manila, Philippines : the International Rice Research Institute, 1985. 21 p.
Broughton, Duncan (author) and Win, Su Su (author)
Format:
Research summary
Publication Date:
2019
Published:
Myanmar: Department of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 166 Document Number: D11673
Notes:
7 pages., Feed the Future Innovation Lab for Food Security Policy, Research Paper 131, Burma Food Security Policy Project (FSPP)., Analysis revealed that Myanmar has one of the smallest, most underfunded agricultural research systems in Southeast Asia. It is cited as having critical gaps in research capacity, an agricultural research capacity that is highly fragmented, weak linkages between research and extension at local level, and lack of overall strategy for development of agricultural research and extension. Strong economic justification was cited for higher rates of investment in agricultural research, along with recommendations for action.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 30 Document Number: D10563
Notes:
2 pages., From Bayer AG - online via AgriMarketing Weekly., Leverkusen, Germany - Bayer is raising the bar in transparency, sustainability and engagement, reflecting its heightened responsibility and potential as a new leader in agriculture. "We're making good progress on integrating the acquired agriculture business, and are now starting to implement a series of measures to drive transparency and sustainability across our business," Werner Baumann, Chairman of the Board of Management of Bayer AG, said on Friday.
14 pgs., There is an overwhelming scientific consensus that global climate is changing with associated devastating, yet differential impacts on different world regions. This, therefore, calls for efforts to improve our understanding of the phenomenon as a way of enhancing mitigation and adaptation measures.Although a lot has been done in this respect, the present study examines the extent to which misnomers associated with the calendar months and local climate events can be employed to convey the phenomenon of climate change to rural agriculturists in the Bolgatanga municipality. The study establishes that the names of the calendar months, which serve asgoalposts for local agricultural practices no longer portray their true meaning due to climate change. The study, therefore, recommends the use of nuanced ways of communicating climate change to local agriculturists,using scientific research, lived experiences as well as socially and culturally embedded tools such as misnomers associated with local climate events.
3 pages, Big data represent a new productive factor (the "new oil" for advocates) that generates new realities in agriculture. By adding an extra "cyber" dimension to current farming systems, big data lead to the emergence of new, complex cyber-physical-social systems. However, our understanding of the sustainability of such systems is still at a rudimental stage. In this critical review we attempt to shed some light on this topic, by identifying and presenting some issues that put in doubt the sustainability of big data agriculture. By using a punctuated equilibria lens, we argue that despite their contribution to the economic and environmental performance of farming, big data act as a speciation mechanism. Hence, they lead to new forms of intraspecific, interspecific and intergeneric competition, thus putting at risk the most vulnerable players of the game. We conclude by pointing out that to holistically address the interrelation between big data and agricultural sustainability we need a hybrid research line, which will combine the qualities of both technology-oriented research and critical social science.
22 pages., The disconnect between the public and agricultural production is a growing concern for the Canadian agriculture industry. A lack of knowledge regarding food production can lead to distrust in the industry and in the safe, nutritious food grown on Canadian farms. To assess consumers’ level of agricultural knowledge, we surveyed consumers about agricultural production. Results reveal a lack of basic knowledge in most areas, and a particular deficit in the areas of crop protection, organic production, and advanced plant breeding technologies. Based on these results, we recommend that the agriculture industry focus education and communication efforts on these topics.
2pgs, For farmers, filling out the USDA’s Census of Agriculture before the February 6 deadline is more than a legal obligation. It’s a way to keep watch over our farmlands and help bring about necessary changes.
20 pgs., Twelve U.S. states were tasked with developing nutrient reduction strategies to help address hypoxia in the Gulf of Mexico. To better understand the kinds of messages different stakeholders in these states are likely to encounter about such strategies, we conducted a content analysis focused on the Iowa Nutrient Reduction Strategy (INRS). We examined 483 articles in two agricultural and two non-agricultural news outlets. We found that agricultural news outlets more often led with agricultural themes and more often used agricultural representatives as sources. The non-agricultural news outlets more often quoted representatives of environmental groups. News articles infrequently led with science or health themes. The volume of coverage over time in three of the four news outlets appeared followed similar issue attention cycles. Differences among the outlets may lead to differences in stakeholders’ knowledge or views about the INRS and conservation, posing challenges to consensus-building.
15 Pages, As the gap in agricultural experiences between farmers and consumers grow, it is important for agricultural communicators to communicate strategically with their audiences and be proactive in addressing consumers’ concerns. Communication media can present a variety of messages or pieces of information that represent multiple perspectives within one unit. The dynamic nature of communication media, such as video and audio messages, lead to the fluctuation of feelings and responses to different elements within one singular message. While agricultural communications has traditionally relied upon quantitative and qualitative survey data, there are likely gaps in complete understandings of individual perceptions in response to varying elements of the communications message. Continuous response measurement (CRM) is a method that can be used to monitor and track individual responses to media messages in real-time to reveal critical moments within a communications message. CRM holds the potential to help those in agricultural communications understand what specific elements within messages resonate most with consumers. This professional paper explores how researchers can use CRM, showcases benefits and drawbacks of CRM, and provides recommendations for contributions to agricultural communications literature.
21 pages, Climate change continues to impact the livelihoods of smallholder farmers due to low adaptive capacity. In South Africa, the challenge is exacerbated by water scarcity and shortened crop-growing seasons. Climate-smart irrigation innovative technologies (CSIT) enhance smallholder farmers’ resilience to climate change. However, there is still a limited level of effective adoption and usage of these technologies in smallholder communities. This study investigated the barriers affecting the adoption of CSIT in rural areas of the Vhembe and Capricorn districts in Limpopo Province, South Africa. We explored the farmers’ socioeconomic factors extracted from farmers’ perceptions of CSIT-specific attributes. A multi-stage randomized sampling technique was used to select 100 smallholder farmers (SHF). Data analyzed by descriptive statistics such as percentages and frequency distribution are presented in graphs and tables. According to the findings, insufficient communication channels, a lack of financial availability, unstable land tenure systems, and insufficient training are the main obstacles to implementing CSIT. There is a need for policy and decision-makers to improve the communication channels for disseminating agro-meteorological information to the intended beneficiaries.
10 pages, The study sought to explore the extent to which agricultural policies in sub-Saharan Africa (SSA)
countries incorporate Indigenous Knowledge (IK) and its impact on the efforts to document and share
agricultural IK through communication efforts. A qualitative content analysis of policy documents from seven SSA countries and eight key informant interviews with knowledge management officers from the seven countries was conducted. Purposive sampling was used to select the countries, determine
documents examined, and for the selection of key informants for the interviews. The results revealed that IK was not included in several SSA countries’ governmental agricultural policies. Activities aimed at capturing, documentation and sharing IK in SSA countries were not found despite the presence of evidence of its importance to agricultural research and development. These results provide insights on the need for researchers, communicators, educators, and decision-makers to consider incorporating IK into policy associated with agricultural information dissemination to improve technology generation and adoption
10 pages., The smart farm, a future-oriented farm operation that integrates information and communications technologies, is an emerging trend in agriculture. This study investigates the factors affecting the adoption of the smart farm in Korea and analyzes them empirically. The research model is based on Rogers' innovation diffusion theory and existing models of adoption of information technology in organizations. The model proposes that adoption of innovative technology is influenced by relative advantages, complexity, and compatibility of the technology, the innovativeness and IT knowledge characteristics of the CEOs, financial costs, human resource vulnerability and lack of skills, competitive pressure, government support and the change to the digital environment. These factors were categorized according to TOE framework, investigated, and empirically tested using survey data to determine their influence on the adoption of smart farms. The results showed that the compatibility of technology, financial costs for the organization, and the digital environment change influence the adoption of smart farms. This study suggests practical implications for the adoption of smart farm technology based on the results.