Intuition, the farmers’ primary decision process. A review and analysis

Nuthall, Peter L.; Old, Kevin

doi:10.1016/j.jrurstud.2017.12.012

Cited by 49 publications

(36 citation statements)

References 73 publications

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“…According to Bolte et al (2003), a positive mood improves intuitive coherence judgments, whereas the performance level of intuition, while in a negative mood, can be equal to chance. Kahneman (2003) highlights the importance of managing one’s emotional triggers and bias, as also pointed out by (Nuthall and Old, 2018).…”

Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 80%

“…As a result, early use of new information management systems is often stressful for farmers accustomed to using an intuitive, experience-based management style, and these systems are subsequently not prioritized (Eastwood et al, 2006). Five studies found that farmers often do not adopt formalized tools as expected, and largely prefer an intuitive approach to an analytic system (Kieft, 2015; Lunneryd, 2003; McCown et al, 2012; Nuthall and Old, 2018; Öhlmér, 2007).…”

Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 99%

“…Nuthall and Old (2018) found that successful farm managers made most of their decisions using their well-developed intuitive ability, i.e. they could confidently apply their intuition to make a successful decision.…”

Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 99%

“…People vary in their intuitive abilities, due to genetics, upbringing and bias, but most humans have the ability to engage in reflexive processes, which are crucial to developing informed intuition (Nuthall and Old, 2018). The importance of personal transformation in developing intuition, which includes learning to manage emotions and bias which might influence intuition, has been emphasized by various authors.…”

Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 99%

“…Interestingly, farmers say they feel better and/or healthier when practising intuitive farming, and feel more connected with their community and nature (Kieft, 2006; Nuthall and Old, 2018). Sadler-Smith and Shefy (2007) suggest that the feeling that an environment induces is important in training intuition, and note other positive outcomes, such as improved self-confidence, inter- and intra-personal sensitivity and metacognition.…”

Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 99%

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

et al. 2020

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Mainstream agricultural research takes a rational approach to generate empirical, tangible knowledge for increased yields and sustainability. This approach has led to the development of technological tools to support farmers in their management decision-making, which, while helpful, are not able to factor in the complex, dynamic variables that motivate farmer decision-making. More importantly, farmers often do not adopt these tools as expected. Could a solution lie in considering other sources and types of agricultural knowledge? Some farmers report relying largely on intuition (knowing from within) to inform their practical management decisions, resulting in both qualitative and quantitative benefits. Intuition allows access to valuable tacit (informal, intangible) knowledge, which can be used to explore and apply more resilient agricultural practices. It is an immediate and valuable part of decision-making, and deserves more attention from both farmers and researchers. This paper discusses potential advantages, challenges to, and methods of mainstreaming farmer intuition, and presents appropriate methodologies for its development, emphasizing the need to expand the underlying ontology and epistemology of the mainstream scientific community.

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Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 80%

Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 99%

Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 99%

Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 99%

Section: Reviewing the Role Of Intuition In Farmer Decision-makingmentioning

confidence: 99%

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

et al. 2020

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Reviewing the decision‐making behavior of irrigators

et al. 2019

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The contribution of agriculture to society is undeniable, as is its impact on the environment. Irrigators' decisions to follow best management practices or implement a policy change, to accept a technology, or even to exit farming, all affect society. Hence the decision-making behavior of irrigators is of interest to politicians, policymakers, and researchers due to their impact on resource use and social concerns for their welfare. There are numerous studies available regarding the decision-making behavior of irrigators. Most of them concentrate on decisions within a single time frame, single decisions with multiple driving forces, or multiple decisions with a single driving force. We have conducted a comprehensive review of the existing literature related to irrigators' decision-making behavior. We used a systematic method to identify relevant publications and used qualitative data analysis (content analysis) to analyze trends and/or patterns across the selected articles. This research provided a typology and an overarching high-level framework of irrigators' decision-making process irrespective of the types of decisions made.The results of the study demonstrate that it is highly beneficial to integrate both qualitative and quantitative methods in a single study to get a complete picture of irrigators' decision-making process. This allows us to ensure that we have captured the relevant drivers of decision-making in highly dynamic and complex environments. Better knowledge of irrigators' decision-making process allows regulators to shape improved agricultural policy and increase acceptance by irrigators of technologies that allow water managers to allocate resources fairly among different stakeholders. This article is categorized under: Human Water > Methods Engineering Water > Planning Water Human Water > Water Governance K E Y W O R D S decision-making framework, irrigators' decision-making behavior, qualitative and quantitative research methods, qualitative content analysis

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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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Intuition, the farmers’ primary decision process. A review and analysis

Cited by 49 publications

References 73 publications

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

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

Reviewing the decision‐making behavior of irrigators

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

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