Agriculture and Human Values

Abstract The livestock sector is under increasing pressure to respond to numerous sustainability and health challenges related to the production and consumption of livestock products. However, political and market barriers and conflicting worldviews and values across the environmental, socio-economic and political domains have led to considerable sector inertia, and government inaction. The processes that lead to the formulation of perspectives in this space, and that shape action (or inaction), are currently under-researched. This paper presents results of a mixed methods exploration of the influence of environmental worldviews, values, and demographic factors on perspectives towards the future of the livestock sector. The approach combines survey and interview data derived from a sample of livestock representatives (N = 307). Respondents with higher pro-environmental, ecocentric and relational worldviews and values favour more behaviour-oriented solutions. Those with lower pro-environmental and higher techno-centric worldviews and values favour technological solutions to improve the efficiency of production and to enable continued patterns of meat consumption. Demographic variation and qualitative data emphasise the need to recognise cultural and geographic nuance in narratives. This study improves our understanding of the processes that lead to the formulation of perspectives, enabling the development of more holistic solutions that acknowledge all voices in an increasingly polarised debate. Adopting more pluralistic, relational methodologies will therefore be paramount in developing solutions for sustainable livestock futures.

Abstract Artificial intelligence and robotics have increasingly been adopted in agri-food systems—from milking robots to self-driving tractors. New projects extend these technologies in an effort to automate skilled work that has previously been considered dependent on human expertise due to its complexity. In this paper, we draw on qualitative research carried out with farm managers on apple orchards and winegrape vineyards in Aotearoa New Zealand. We investigate how agricultural managers’ perceptions of future agricultural automation relates to their approach to expertise, or the degree to which they think specialised skills and knowledge are required to perform agricultural work on their orchards and vineyards. Our research generates two insights: the perceived potential for work to be automated is related to the degree to which it is seen to require technical or embodied expertise, with technical expertise being more automatable; and, while embodied expertise is perceived to be more difficult to automate, it is sometimes  attributed more exclusively to those in positions of power, such that embodied expertise can be highly valued while the majority of embodied work is viewed as non-expert and thus automatable. Our analysis illustrates that a robot can be an expert when expertise is technical. It also shows variability in the conceptualization of skilled or unskilled work, and that those conceptualizations can set the stage for the future effects of new technologies. This generates new insights into the conditions under which automation might reproduce existing inequalities in agriculture, and also raises new questions about responsibility in the context of automation.

Abstract A major programme of irrigated rice extension in the Middle Senegal River Valley has further limited the river’s natural flooding in the floodplain (Waalo), initially reduced by drought. We conducted a transdisciplinary (TD) and gendered study in the region to explore links between agricultural biodiversity and family diets using a social analysis of women’s practices. The results showed how rice expansion impacts local agrobiodiversity, diet quality and the cultural way of life. Disappearance of the singular agropastoral and fishing system of the Senegal River Valley is profoundly modifying the landscape, limiting wooded riverine settings, and is undermining the traditional diversified flood-recession cropping system in the Waalo. This is causing an overconsumption of rice by reducing alternative food sources, such as sorghum, vegetables and animal products (fish, milk and meat). In particular, flood-recession sorghums are in danger of disappearing, yet they are more nutritious than rice and now sell for twice as much, or more. The way of life is being disrupted, notably sociabilities previously based on territorial complementarities, and women are disadvantaged in terms of recognition and added workload. Women’s groups have launched collective irrigated gardens, organic or not, only supported by the local NGO, but any surplus is hardly ever sold on the weekly markets in the neighbourhood. Moreover, this diet imbalance increases nutritional risk factors for health, such as vitamin and iron deficiencies, especially for women, hypertension and diabetes. We argue that, firstly, gendered TD experiences are relevant for documenting women’s activities in order for them to gain political support and, secondly, that targeting women’s care tasks gives more value and impact to TD research results.

Abstract Food pantries play a growing role in supporting households facing or at risk of food insecurity in the United States. They also support emergency response and recovery following disasters and extreme weather events. Although food pantries are often placed in close proximity to communities with the highest rates of poverty and risk of food insecurity, access to these facilities can be disrupted during and after extreme events. Decreased access to food pantries following disasters can be particularly problematic as the need for these services is also likely to grow after such events. Despite the vast body of research on food retail access and food environments, relatively little research has utilized spatial analysis to understand food pantry access, particularly after extreme events. Using Geographic Information Systems (GIS), we characterize changes in access to food pantries following flooding events in Harris County, Texas—a highly populated and flood prone region with high levels of food insecurity and poverty. Specifically, our study models disruptions in road networks due to flooding and assesses the impacts of these disruptions on proximity to food pantries. The results reveal that much of Harris County sees only small increases in travel distance to food pantries due to extreme flooding, but some areas may be unable to access food pantries at all. This research highlights the potential and some of the limits of private food assistance networks to support emergency response efforts.