A call to focus on farmer intuition for improved management decision-making

Diest, Saskia G von; Wright, Julia; Samways, Michael J.; Kieft, H.

doi:10.1177/0030727020956665

Cited by 8 publications

(4 citation statements)

References 41 publications

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“…In dairy management, farmers' experience and proficiency in practical farming skills were necessary. Using intuition to inform and accelerate decisions influenced their success [16]. There are four marketing channel of dairy milk which can be seen in Table 2.…”

Section: Resultsmentioning

confidence: 99%

Value chain analysis of fresh dairy milk in Sleman Regency

Wijiono,

Kusumastuti,

Putra

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The right value chain influences effectiveness and efficiency. The use of the right value chain will provide benefits in economic and environmental. The value chain that can still be maximized is the fresh dairy milk. This paper aimed to analyze the fresh dairy milk channel, marketing margin, and marketing efficiency in Pakem Subdistrict and Cangkringan Subdistrict, Sleman Regency. The research was conducted to collect data from 35 farmers, actors involved, and dairy cooperatives as respondents who were selected using purposive and snowball sampling techniques. The results showed that there are four marketing channels of fresh dairy milk but ineffective due to high marketing margins and a low Farmer’s Share (FS) value of <60. Poor marketing channels have an economic impact and environmental impact. The economic impact on decreasing farmers’ income and reducing farmers’ welfare. While the environmental impact is an increase in the use of fuel in the distribution of fresh dairy milk and the performance of the dairy industry.

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Section: Resultsmentioning

confidence: 99%

Value chain analysis of fresh dairy milk in Sleman Regency

Wijiono,

Kusumastuti,

Putra

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Lastly, agricultural decisions require immediate and precise forecasts that are not often formally available, and farmers commonly rely on intuition for decision-making (von Diest, 2021; von Diest et al, 2020). People make more accurate intuitive judgments and display enhanced insight when experiencing positive emotions (Bolte et al, 2003; Sinclair, 2011; Subramaniam et al, 2009).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…A positive mood improves the ability to make intuitive coherence judgments (Bolte et al, 2003). Farmers’ intuition will allow access to valuable informal intangible tactical knowledge, which can be used to explore and apply more resilient agricultural practices (von Diest, 2021; von Diest et al, 2020).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Recent studies have suggested that, in addition to various external constraints, internal or psychological characteristics might underlie smallholders’ agricultural production levels (Abay et al, 2017; Ali et al, 2020; Bernheim et al, 2015; Bukchin, 2020; Bukchin and Kerret, 2018, 2020; Duflo et al, 2011; Haushofer and Fehr, 2014; Ma et al, 2022a; Qian et al, 2020; Wuepper et al, 2016, 2020; von Diest et al, 2020).…”

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confidence: 99%

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Are positive farmers more productive? Investigating the relationship between positivity ratio and agricultural productivity

Bukchin-Peles

2022

Outlook Agric

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Lagging agricultural productivity performance in developing countries is a significant barrier to economic development and achieving food security. Rather than focusing on commonly researched socioeconomic and physical factors hindering productivity enhancement, we follow a new perspective, investigating intangible and non-material dimensions of agriculture that are generally missing from the literature. We suggest a relation between farmers’ positivity level (ratio of positive to negative emotions) and agricultural productivity. This hypothesis's theoretical roots lie in the broaden-and-build theory, which argues that the positivity level is at the core of psychological flourishing and significantly impacts social and intellectual abilities. Several existing models link positive emotions to productivity in other sectors, mainly in the developed world. Through a comprehensive literature review, we first set the theoretical framework for suggesting that this relationship is also relevant for small-scale agriculture development. We then put this hypothesis to an empirical test in a field study in Nepal. We used a face-to-face questionnaire to collect data from 262 smallholders in the Jhapa district. Productivity measures included annual income from agriculture per area, total annual income from agriculture, vegetable harvest per area, and subjective perception of relative farming level- ranked by the farmer. Four regression models of the collected data revealed a link between a high positivity ratio and all four productivity measures. Besides its theoretical and empirical contribution, this study's importance lies in its practical implications and potential to have a social impact.

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Can a robot be an expert? The social meaning of skill and its expression through the prospect of autonomous AgTech

2022

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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.

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A call to focus on farmer intuition for improved management decision-making

Cited by 8 publications

References 41 publications

Value chain analysis of fresh dairy milk in Sleman Regency

Value chain analysis of fresh dairy milk in Sleman Regency

Are positive farmers more productive? Investigating the relationship between positivity ratio and agricultural productivity

Can a robot be an expert? The social meaning of skill and its expression through the prospect of autonomous AgTech

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