17 pages, British Columbia’s food system is experiencing an emerging trend in the digitalization of agriculture, which will impact agricultural practices in the province. The rapid growth of this field has created a niche for training and education in digital agriculture and more specifically, in areas such as robotics, artificial intelligence, big data analytics, and computing. However, it remains unclear whether current educators and trainers in British Columbia are communicating both the benefits and risks of digital agriculture, and the need for an inclusive and equitable approach to digital agriculture. To understand the emerging education and training landscape in digital agricultural technologies, this exploratory study engaged in a key informant interview with 12 participants, including educators, relevant government staff, and private training consultants/practitioners in the food and agricultural sector in British Columbia. The small sample is reflective of the nascent nature of this area of research, which seeks to better understand digital agriculture from the perspectives of agricultural educators and trainers both in the public and private sectors. The study found that there is currently a lack of consideration for equity and food sovereignty in digital agricultural training and education. This is primarily due to a gap in engagement with the social aspects of digital agriculture. Without engaging critical social scientists and critical data studies, digital agriculture education, and training may be conducted in ways that do not promote responsible and ethical innovation, and are therefore counterproductive to the development of a just and sustainable food system.
15 pages, In spite of several strategies implemented to improve sorghum production in Ghana, average grain yield in farmers’ fields remains low and far below the estimated potential. The development of effective strategies requires continuous, in-depth understanding of production constraints as well as farmer preferences for crop traits. To this end, a participatory rural appraisal using focus group discussions, interviews with semi-structured questionnaires and preference ranking was carried out among 122 smallholder sorghum farmers in the Upper East Region of Ghana. Majority (91%) of respondents were engaged in farming with more than half of their farm sizes allocated to sorghum cultivation. Drought, high cost of farm inputs and declining soil fertility were the top three constraints. Almost 42% of farmers described their soils as low in fertility. The most preferred traits by farmers were drought tolerance, high grain yield, earliness, grain quality as well as low fertilizer requirement. A better understanding of the perceptions of farmers and factors that limit the adoption of improved technology is important to guide policy towards the design of effective crop improvement and extension programmes. The study highlights the importance of breeding sorghum varieties with traits preferred by smallholder farmers that will lead to increased adoption of improved technology.
Jakku, Emma (author), Taylor, Bruce (author), Fleming, Aysha (author), Mason, Claire (author), Fielke, Simon (author), Sounness, Chris (author), and Thorburn, Peter (author)
Format:
Journal article
Publication Date:
2019-12
Published:
Netherlands: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12272
13 pages, Advances in Smart Farming and Big Data applications have the potential to help agricultural industries meet productivity and sustainability challenges. However, these benefits are unlikely to be realised if the social implications of these technological innovations are not adequately considered by those who promote them. Big Data applications are intrinsically socio-technical; their development and deployment are a product of social interactions between people, institutional and regulatory settings, as well as the technology itself. This paper explores the socio-technical factors and conditions that influence the development of Smart Farming and Big Data applications, using a multi-level perspective on transitions combined with social practice theory. We conducted semi-structured interviews with 26 Australian grain farmers and industry stakeholders to elicit their perspectives on benefits and risks of these changes. The analysis shows that issues related to trust are central concerns for many participants. These include procedural concerns about transparency and distributional concerns about who will benefit from access to and use of "farmers' data". These concerns create scepticism about the value of `smart' technologies amongst some industry stakeholders, especially farmers. It also points to a divergence of expectations and norms between actors and institutions at the regime and niche levels in the emerging transition towards Smart Farming. Bridging this divide will require niche level interventions to enhance the agency of farmers and their local networks in these transactions, and, the cooperative design of new institutions at regime level to facilitate the fair and transparent allocation of risk and benefit in farming data information chains.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes2 Document Number: D01227
Notes:
Kerry J. Byrnes Collection, Regional Office for Central America and Panama (ROCAP) U.S. Agency for International Development. Guatemala City, Guatemala 133 pages, This report raise level of awareness of alternative policies, programs, and methodologies for extension, to strengthen the capability of CAAP personnel (program supervisors and research and extension personnel) to transfer, and improve the participants capacity to achieve technology transfer.
