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.
