Saskia von Diest et al. considers the relevance of developing your intuition, not only for personal development, but as well for farm management decisions and for understanding nature.
“A call to focus on farmer intuition for improved management decision-making“
Saskia G von Diest 1,2,3,4, Julia Wright 3, Michael J Samways 1 and Henk Kieft 3.
- Department of Conservation Ecology and Entomology, Stellenbosch University, Stellenbosch, South Africa
- Centre for Complex Systems in Transition, Stellenbosch University, 19 Jonkershoek Road, Stellenbosch, South Africa
- Centre for Agroecology, Water and Resilience, Coventry University, Ryton Organic Gardens, Wolston Lane, Coventry, Warwickshire, United Kingdom
- Organisation for Noetic Ecology, Garden Route, Western Cape, South Africa
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 man- agement 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.
Farmer decision-making, farm management, tacit knowledge, holistic decisions, resilient farming systems
Farmers are increasingly pressured to make management decisions that are both efficient and ecologically robust. However, the reasoning and values behind these decisions are more individualistic than has been appreciated. A review of 55 studies spanning 25 years of literature in the United States was inconclusive as to which factors consistently determined farmers’ reasons for adopting best management practices (Prokopy et al., 2008). Furthermore, a synthesis of 31 empirical analyses on farmer adoption of conservation agriculture found few variables that universally explained farmers’ motivation to adopt certain practices (Knowler and Bradshaw, 2007). So, how do farmers make management decisions, and especially those that consider longer-term ecological and social consequences?
Applied ecological knowledge arises not only from for- mal scientific study, but also through farmers’ experiential learning from interactions with their agroecosystems, lead- ing to context-specific knowledge that draws on local resources rather than more generalized and widely applica- ble solutions (Altieri, 1995). Perhaps the key lies in widen- ing the recognition of, access to, and application of different types and forms of knowledge (Code, 2018; Curry and Kirwan, 2014).
Different sources of knowledge in agriculture
Examining the mainstream sources of knowledge in agriculture
The dominant ontology (belief about the nature of reality, or how the world is) and epistemology (belief about the grounds for human knowledge, or how the world can be known) of the mainstream agricultural paradigm is largely positivist, in that all matter and processes can be reduced to concrete matter. It looks to modern (Newtonian–Cartesian) ‘Western’ science to provide knowledge, accumulated through observable data gathered in controlled and repea- table experiments (van Eijk, 1998). This results in explicit knowledge, i.e. formal knowledge that can be articulated, documented, codified, and easily transferred in a systema- tic and tangible form, using words, numbers and formulae, and disseminated through, for example, instruction man- uals (Boateng, 2006; Nonaka and van Krogh, 2009; Van- gala et al., 2014).
The paradigm shift called for in the United Nations Conference on Trade and Development (UNCTAD) Trade and Environment Review (2013) report invites examina- tion of how knowledge that is thought by modern science to be appropriate for sustainable agriculture is generated and used. Going further, van Eijk (1998) and Code (2018) identify the need to question the ontology and epis- temology of mainstream agricultural research, and to recognize and include the role of interior knowledge sources.
This has been addressed, to some extent, when agricul- tural research began to acknowledge the constructivist paradigm (constructed nature of reality) in the 1980s (van Eijk, 1998), including through the exploration of indigen- ous research methods (Apusigah, 2011; Chilisa, 2012). However, tacit knowledge still has not yet been signifi- cantly addressed (Boateng, 2006; Curry and Kirwan, 2014; van Eijk, 1998; Vangala et al., 2014). Tacit knowl- edge is intangible, personal, often experiential and informal in nature, involving conscious and unconscious awareness of perspective, personal beliefs, values and innate knowing. It is found in traditions, customs and savoir-faire (adaptive ability to determine appropriate action). It can refer to the decision rules stored in the mind, but is implicit in nature and cannot always be articulated, codified, or transferred. Yet it can be accessed through intuitive processes (Boat- eng, 2006; Nonaka and van Krogh, 2009).
Value of using intuition in decision-making
Dane and Pratt (2007) define intuition as ‘affectively- charged judgements that arise through rapid, non- conscious, and holistic associations’, or ‘the provision of a conclusion reached without formal analysis’. Perhaps a simpler and more apt definition of intuition is ‘knowing without knowing how you know’, or ‘knowing from within’ (Hodgkinson et al., 2008). To date, most evidence on the value of intuition comes from the fields of psychol- ogy and business management, and is recognized as critical in hyper-competitive business environments (Harvey and Novicevic, 2002) and clinical judgement in medicine (Chin-Yee and Fuller, 2018).
In the field of economics, Kahneman (2003) observes that decision makers are aware of limited information, and most judgements and decisions are made intuitively. He presents a map of ‘cognition architecture’, in which the characteristics of intuitive and reasoning (rational/logical) systems are summarized. Here, intuition resembles percep- tion, and both are fast, automatic, associative, and reference-dependent, or stimulus-bound. Reasoning, by contrast, is slow, controlled, and neutral, and both intuition and reason are informed by experience. He emphasizes that intuition can be powerful and accurate, but applying it effectively requires prolonged practice.
Given our perspective on the constructivist, subjective nature of reality, we would contend Kahneman’s (2003) identification of reasoning as being neutral.
Overall, intuition appears to be an involuntary, immedi- ate and inevitable part of all decisions, which can comple- ment logical cognition, and can be highly useful when there is a time constraint on gathering (potentially unreliable) information (Khatri and Ng, 2000). It can boost accuracy, confidence, and speed in the decision-making process (Lufityanto et al., 2016). This suggests that applying intui- tion, and thus accessing tacit forms of knowledge, holds potential for improved farm management decision-making.
Learning from traditional and indigenous ecological knowledge systems
Many traditional and indigenous cultures worldwide have evolved a highly integrated, holistic, intuitive understand- ing of the complex natural systems in which they live, and maintaining a dialogue with these systems is crucial for managing food production landscapes (Apusigah, 2011; Parry, 2005). Small-scale and subsistence farmers use their tacit understanding to adapt to increasingly unpredictable climatic conditions, such as drought, thereby increasing the resilience of their agroecosystems (IAASTD, 2009; Kieft, 2006, 2015; Makondo and Thomas, 2018). Resilience (the ability to remain functional under stress) is an important criterion of health and adaptability in agricultural systems (Do ̈ring et al., 2013), and is crucial for farmers to consider in their decision-making, especially in regions with rapidly-changing climatic conditions.
This ‘situational knowledge’ (Haraway, 1988) is gener- ated through experience, language, culture and tradition in situ, and through more than the five physical senses. These stocks of intuition, or cultural capital (Hogarth, 2010), are the product of tacit learning, and expand on, and contribute to, a more holistic, pragmatic knowledge base than the (explicit) knowledge gained through modern science’s overemphasis on the sense of vision and observation.
Several global organizations have called for the protec- tion and utilization of these knowledge systems, arising from their value in evolving adaptive agricultural solutions and addressing global food security. For example, in 2002, the Food and Agriculture Organization initiated the Glob- ally Important Agricultural Heritage Systems (GIAHS) programme, to safeguard and support indigenous and tra- ditional knowledge systems at risk of disappearing through the spread of industrialized agriculture. GIAHS policy sug- gestions are already being applied, as in the case of the inter-university initiative Capacity and Theory Building of Universities and Research Centres on Endogenous Development (CAPTURED), which has formulated curri- cula to include ancient wisdom and intuitive knowing into higher education (Haverkort, 2010).
Potential risk of externalizing tacit knowledge
Organization science places both explicit and tacit knowl- edge along a continuum, and considers that the less extreme forms of tacit knowledge may be externalized or converted (Nonaka and van Krogh, 2009), to allow for the expansion of knowledge beyond what exists in one individual or community. Through participatory research approaches, some tacit knowledge embedded in tradi- tional and indigenous ecological knowledge systems has been externalized for improving and developing sustain- able agricultural practices (Curry and Kirwan, 2014; East- wood et al., 2012).
Steps such as the GIAHS programme contribute greatly to understanding and using the various knowledge bases of farmers worldwide. However, apart from the innate diffi- culty in expressing tacit knowledge, building mutual trust for an effective ‘dialogue of wisdom’ with those holding tacit knowledge is not easy. Knowledge holders may be reluctant to share with western scientists, expressing a lack of confidence in its appropriate use outside of their own cultural and spiritual context. For example, knowledge about local plants shared with researchers of international seed businesses has often been exploited for profit (Henk Kieft, personal observation).
Additionally, because such embedded knowledge is situational, practices developed from them are appropriate to local cultures and regional conditions, and not well sui- ted to adapting to, or scaling up within, other cultures and regions (Chilisa, 2012). And because of the internal, experiential nature of both intuition and tacit knowledge, an externalization process could alter or dilute the value of such knowledge (Hodgkinson et al., 2008).
This location-specificity is at odds with the positivist paradigm of mainstream agriculture. Could support for farmers to individually access and apply tacit knowledge circumvent this? Certainly, farmers would be imbued with more agency and autonomy than is currently the case.
Reviewing the role of intuition in farmer decision-making
To assess how existing agricultural research addresses intuition in farmer decision-making, we performed a search on the scientific databases Scopus and Web of Science, cross-referencing the keywords ‘intuition’ with ‘agricul- ture’ and ‘farming’. Filtering 60 search results for rele- vance to management decision-making yielded a total of seven papers, all published in the 16 years up until 2019. We included a further two articles from conference proceedings.
The need to reconsider the analytic approach to supporting farmer decision-making
Five of the seven articles from our initial search were asso- ciated with the development and use of analytical decision support systems in industrialized countries. Using a rational/logical approach based on cognitive task analysis, formal tools using information communication technolo- gies have been developed to bridge the knowledge exten- sion gap between agricultural science and farming practice to streamline management decisions. Despite the slow uptake of such support systems in many countries, two studies found that many systems have been successfully adopted (Bramley, 2009; Eastwood et al., 2012).
Several authors agree that formal tools are rarely designed with a detailed understanding of the relationship between farmers’ specific knowledge, the decisions they make and the actions they take, and farmers are often not consulted in the design process until release of the final product (Lynch et al., 2000; O ̈ hlme ́r, 2007; Robert et al., 2016). As a result, early use of new information manage- ment 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; Lun- neryd, 2003; McCown et al., 2012; Nuthall and Old, 2018; O ̈ h l m e ́ r , 2 0 0 7 ) .
In one example from Sweden, the adoption rate of a computer-based tool aimed at analytic thinking to support farmers’ decision-making, developed in a research pro- gramme spanning three decades, was considerably lower than expected (O ̈hlme ́r, 2007). Similarly, the process of gathering information on the strategic decision-making by farmers to convert from conventional to organic milk pro- duction in Sweden had not been adapted to their specific needs (Lunneryd, 2003). Both Lunneryd (2003) and O ̈ hlme ́r (2007) found that farmers mostly rely on intuition for decision-making.
McCown et al. (2012) found that Australian farmers were initially enthusiastic about adopting analytic decision support systems for measuring soil water and managing climatic variability. However, in practice, they used the system to hone their intuitive ability, to which they returned and relied upon heuristically, only using the analytic sys- tems in exceptional cases. Similarly, in New Zealand, the most successful (efficient and/or profitable) stock-cattle farmers relied less on formal technological tools designed to aid their practical decision-making, and instead devel- oped a personalized expert system, with intuition being the primary driver (Nuthall, 2012). This expert system was a technology-based encapsulation of decision rules used by farmer experts, through a question and answer system based on explicit knowledge. They noted that, while study- ing farmers’ expert systems was valuable, there was an element of impracticality when basing development of technological tools for grazing management, since farmers preferred to rely on intuition.
Farmers’ knowledge is not static, nor are their decisions likely to be made in the same way over time as their expe- rience grows, their knowledge base evolves, and as external environments become more challenging (Eastwood et al., 2012). This means that formal decision support tools would need to be constantly re-evaluated and adapted to effi- ciently support farmers (Douthwaite et al., 2001; Eastwood et al., 2012).
We have seen that farmer decision-making is a complex process involving values, goals, observation, intuition and intention, and management programmes that do not con- sider these factors are less likely to be effective (OECD, 2012; van Eijk, 1998). Hochman and Carberry (2011) argue that support systems should allow users to experiment with options that satisfy their needs, and develop intuition instead of replacing it with optimized recommendations.
The call to focus research attention on the development of farmer intuition
Nuthall and Old (2018) found that successful farm manag- ers made most of their decisions using their well-developed intuitive ability, i.e. they could confidently apply their intuition to make a successful decision. They present an original model to explain intuition, using data from 818 farms in New Zealand and based on influencing variables, including experience, feedback and repetition, training and mentoring, reflection and self-critique, intelligence and personality, objectives and risk attitude, observation and anticipation skills.
Farmers often describe intuition as crucial for farm health management. In a study of farm health among 79 organic farmers in Austria, Germany, and the UK, health was seen as an interconnected system based on close obser- vation and decision-making processes (Paxton et al., 2017). One of 10 key factors identified for healthy farming sys- tems was the development of intuition and the associated ability for self-observation. As one farmer explained: ‘We’re always talking about things that are not actually tangible . . . this is something older, something that we have lost . . . intuition should be the first point concerning the importance for health’. (Paxton et al, 2017: 83). Other farmers considered that intuition allowed for customized practical decisions (Paxton et al., 2017). Since resilience and health are interdependent (Do ̈ring et al., 2013), this suggests that farmers may use intuition to build resilience.
Research has showed that farmers in the Netherlands, Brazil, Peru and Sri Lanka secured considerable benefits by relying largely on intuition (Kieft, 2006, 2015). Surveyed farmers claimed that, while proficiency and experience in practical farming skills were important, their success stemmed mainly from using their intuition to inform and accelerate decisions. They reported earlier disease detec- tion and improved disease resilience, enabling a reduction in chemical inputs and water use, resulting in improved yields and product quality (specifically nutritional value and shelf-life), and higher input efficiency, in both plant and animal production. In dairy farming, benefits such as quieter animals, lower antibiotic use and veterinary costs, higher calf survival rates, improved immune response, and more efficient feed conversion rates were reported. Many of these farmers also benefitted from an improved work- life balance and a deeper sense of satisfaction, as well as minimizing environmental impact and working in closer harmony with nature. All the surveyed farmers operated intuitively, and the study concluded that farmer intuition should be accepted, respected, and actively enhanced.
For too long, agricultural research has seen intuition as non-scientific and problematic (van Eijk, 1998). The grow- ing recognition that it deserves more focused attention from researchers and farmers does not imply that farmers should use their analytical skills less, or that research into the analytic decision processes of farmers should discontinue. However, there is a gap in understanding how to support farmers to confidently and consciously use their intuition. Such support would be especially important for small-scale and subsistence farmers who may not have access to exter- nal tools (Boateng, 2006).
Because farmers generally prefer quick and simple vs. detailed and elaborate analysis, and lean towards incremen- tal implementation (O ̈ hlme ́r et al., 1998), cognitive analysis is favourable when tasks are analytically simple. Yet, as analytical complexity increases, intuition becomes more advantageous, being quick and effortless (Hogarth, 2010). This is recognized by some industry advisors, such as the whole farm/ranch planning framework developed by Hol- istic Management International. Of their seven tests that a holistic management decision should pass, the last and most important is the ‘gut check’, which asks ‘not what you think, but how you feel about an action or decision’ (HMI, 2013).
Potential challenges of relying on intuition
That intuition is not easily verbalized presents a potential problem for farms with large management structures and teams, as the whole team needs to be aware that this ability is being consciously used (O ̈ hlme ́r, 2007). Composition of the management team in terms of levels of expertise would impact how intuitive insights are shared in the team, and those with greater managerial responsibility may require a better developed intuitive ability, which needs to reflect in clear roles and responsibilities within the team (Salas et al., 2009).
Khatri and Ng (2000) point out that an intuitive decision-maker may be accused of being overly influenced by emotions. While intuitive decisions are not emotional per se, they can be affected by the subtle priming of emo- tions (Hogarth, 2010). According to Bolte et al. (2003), a positive mood improves intuitive coherence judgments, whereas the performance level of intuition, while in a neg- ative 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).
Hogarth (2010) suggests that reliance on intuition may be dysfunctional if the environment in which it is used is significantly different to the one in which the intuitive ability was trained, and that people’s intuition cannot be trained to handle situations with which they are not famil- iar. Yet, it plays a role in creative decision-making in new, dynamic or complex situations, such as is typically experi- enced in agroecological systems, and novices have strong intuitions that could be fostered (Salas et al., 2009). So, honing intuition in any environment might be a helpful tool for farmers with little or no prior experience, such as young or entrant farmers.
Intuition may be fallible, and the true success rate of intuition is unknown (Hogarth, 2010; Salas et al., 2009). However, when used frequently over time and integrating reflective processes, farmers become more adept at trusting their intuition, increasing in confidence and reliability (Lufityanto et al., 2016; Sadler-Smith and Shefy, 2007).
Developing intuition: The role of personal development and nature connectedness
Based on extensive research, the handbook The Intuitive Farmer: Inspiring Management Success (Nuthall, 2016) offers principles and practices for improving intuition for farm management, and is presented in an accessible narra- tive format. Here, high managerial ability requires excel- lent technical knowledge in the first instance, but knowing how to apply decision methods that lead to success is crit- ical. ‘Informed intuition’ requires experiencing appropriate lessons repeatedly, together with reviewing efficient deci- sions by both oneself and others. Developing confident and informed intuition depends on gaining practical experience, developing observation and anticipation skills, practising structured reflection and self-critique, as well as consulting with professionals, friends and family for both personal and professional feedback.
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 devel- oping informed intuition (Nuthall and Old, 2018). The importance of personal transformation in developing intui- tion, which includes learning to manage emotions and bias which might influence intuition, has been emphasized by various authors. The most effective techniques for personal transformation include journaling, meditation (particularly Transcendental Meditation), practising mindfulness, and developing somatic awareness through tactile experiences and movement skills and routines (Kieft, 2015; Nonaka and van Krogh, 2009; Sadler-Smith and Shefy, 2007; van Eijk, 1998). The Somatics Toolkit offers a movement-based methodology designed to incorporate, and learn from, the body as a research tool (see http://somaticstoolkit.coventry. ac.uk).
Intriguingly, some biodynamic farmers are more com- fortable with speaking about their feelings and the concept of intuition than are other organic farmers (Anja Vieweger, personal observation). Steiner (1967, 1995), founder of biodynamic agriculture, considered intuition the highest stage of non-physical perception, and pivotal to the exam- ining of one’s own thoughts in the quest for self-awareness. In agreement with Steiner, prominent western philosophers since the 17th century, including Henri Bergson (Bergson, 1911), Karl Popper (Jarvie et al., 2006) and Baruch de Spinoza (van Eijk, 2019) have described intuition as a method to attain deeper or higher knowledge.
While biodynamic certification for farms only regulates physical practice requirements, the theory behind biody- namics provides systematic guidelines for self- observation and for developing intuition (von Diest, 2019). Steiner’s (1995) ‘hineinversetzung’ – placing one’s awareness as if through the eyes of other beings and obser- ving what happens inside oneself – is similar to using the entire human constitution to ‘sense subtle energies’ within the agroecological landscape (Kieft, 2006, 2015, 2019).
Interestingly, farmers say they feel better and/or heal- thier when practising intuitive farming, and feel more con- nected 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 out- comes, such as improved self-confidence, inter- and intra- personal sensitivity and metacognition.
Nature connectedness is promising for improvements to farmer health and resilience, and the interrelated health and resilience of agroecosystems of which they are a part (Simaika and Samways, 2018). As individuals have regular experiences of oneness with nature, a gradual and long- lasting shift in attitude towards nature and a more ecologi- cal worldview is facilitated, enabling a paradigm shift from a more positivist one in which the farmer/human is a stew- ard of nature, to perhaps a more mystical one in which farmers/humans feel unified with the rest of nature (van Eijk, 1998). This bears in mind that connectedness with nature is a holistic process that goes beyond only obtaining information about nature, and provides motivation and a reliable predictor for environmentally responsible beha- viour (Zylstra et al., 2014). Nature connectedness may thus enable farmers to be aware of, and manage, their emotional triggers, as well as think more creatively, which in turn, would benefit both analytic and intuitive thinking.
Appropriate methodologies for future research
Assuming farmers require and/or want research support in developing intuition, research methodologies that embrace farmer intuition would need to be both respectful and inclu- sive of different ways of knowing, and centralize the need for endogenous knowledge development in a given culture or region (COMPAS/UDS, 2008; ETC-COMPAS, 2007; van Eijk, 1998), such as approaches applied in the integra- tive scientific discipline and movement of agroecology (Pimbert, 2015). Here, researchers are co-inquirers in a reciprocal relationship with study participants (rather than subjects) (Chilisa, 2012; Curry and Kirwan, 2014; Madjidi, 2014). Of course, intuition on the part of the researcher would provide a latent resource to make key decisions in developing the research process (Madjidi, 2014; Rosen- berg, 2017; van Eijk, 1998).
If nature connectedness is involved in, or helps with, refining an intuitive connection for development of regen- erative farm practices, there may be benefits in borrowing from fields of study like ecological psychology (informed by deep ecology) (Roszak et al., 1995), multi-species eth- nography (Kirksey and Helmreich, 2010), animism (Hard- ing, 2015) and ecofluency (von Diest, 2019). Studies like those of Madjidi (2014), Zylstra (2014) and van Eijk (1998), which use such approaches, provide theories and methodologies for facilitation and support, for both indi- vidual and group processes towards personal and collective transformation and evolution.
Summary and conclusions
Research shows that challenges to farm management are more complex and site-specific than can be accurately rep- resented by standardized scientific models favoured by mainstream agriculture, and management decisions by ana- lytical methods. Management decisions often require quick and accurate forecasts for complex situations that are sel- dom formally available. As cognitive analysis takes longer and cannot fully calculate realistic risk, farmers must often rely on intuition. Intuition allows access to tacit knowledge, which, although not externalized, offers insight into holis- tic, tailored solutions.
Although not new to farmers, intuition is a relatively new concept in agricultural research. The few existing stud- ies on this topic agree that many farmers have well- developed intuition, resulting in significant benefits, and all agree on the need to focus research on supporting farm- ers to develop their intuition. This is not to replace, but rather to complement, farmers’ analytical processes. Importance of managing emotions and personal develop- ment are emphasized in the intuition development process, as well as the potential for improved connectedness with nature.
What is needed is not more knowledge, but better know- ing. If more farmers were to consciously and confidently leverage the latent, free resource of their intuition, they may be empowered to more easily make ecologically cohe- sive management decisions tailored to any given situation. This could help re-embed farmers centrally within the agroecosystem, as the necessary step beyond them simply being perceived as recipients of external knowledge and acting as objective managers of farm systems. Focusing research on the emergent field of intuitive farming, offers stimulus for the paradigm shift called for to reinvigorate resilient agriculture.
We thank E. Cloete, Vice-Rector of Innovation, Research and Postgraduate Studies, Stellenbosch University, and M. Swilling, for support and valuable critique.
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by funding from the Department of Science and Technology [grant number 81789/2012], the National Research Foundation [grant number 95435] of South Africa, the office of the Vice-Rector of Innovation, Research and Postgrad- uate Studies, Stellenbosch University and Coventry University.
Saskia G von Diest https://orcid.org/0000-0002-5262-9623
Henk Kieft https://orcid.org/0000-0001-9245-5050
Altieri MA (1995) Agroecology: The Science of Sustainable Agri- culture. Boulder, CO: Westview Press.
Apusigah AA (2011) Indigenous knowledge, cultural values and sustainable development in Africa. Paper presented at the Second Annual Ibadan Sustainable Development Summit, August 2011, Nigeria.
Bergson H (1911) On the meaning of life — the order of nature and the form of intelligence. In: Creative Evolution, Mitchell A (trans.). New York, NY: Henry Holt and Company, pp. 186–271.
Boateng W (2006) Knowledge management working tool for agricultural extension: the case of Ghana. Knowledge Manage- ment for Development Journal 2: 19–29.
Bolte A, Goschke T and Kuhl J (2003) Emotion and intuition: effects of positive and negative mood on implicit judgments of semantic coherence. Psychological Science 14: 416–421.
Bramley RGV (2009) Lessons from nearly 20 years of precision agriculture research, development, and adoption as a guide to its appropriate application. Crop Pasture Science 60: 197–217.
Chilisa B (2012) Indigenous Research Methodologies. Los Angeles, CA: Sage Publications.
Chin-Yee B and Fuller J (2018) Clinical judgement: multidisci- plinary perspectives. Journal of Evaluation in Clinical Prac- tice 24: 635–637.
Code J (2018) Alternative agriculture: innovations for growing and cultivating diverse ways of knowing. In: Zeunert J and Waterman T (eds) Routledge Handbook of Landscape and Food. London: Routledge, pp. 125–137.
COMPAS/UDS (2008) In: Millar D, Apusigah AA and Boonzai- jer C (eds) Endogenous Development in Africa: Towards a Systematisation of Experiences. Leusden: COMPAS/UDS.
Curry N and Kirwan J (2014) The role of tacit knowledge in developing networks for sustainable agriculture. Sociologia Ruralis 54: 341–361.
Dane E and Pratt M (2007) Exploring intuition and its role in managerial decision making. Academy of Management Review 32: 35–54.
Do ̈ring TF, Vieweger A, Pautasso M, et al. (2013) Resilience as a universal criterion of health. Journal of the Science of Food and Agriculture 95: 455–465.
Douthwaite B, Keatinge JHD and Park JR (2001) Why promising technologies fail: the neglected role of user innovation during adoption. Research Policy 30: 819–836.
Eastwood CR, Chapman DF and Paine MS (2006) From intuition to information – management information systems in Australian dairy farming. In: Computers in Agriculture and Natural Resources: Proceedings of the Fourth World Con- gress, Orlando, Florida, USA, July 2006.
Eastwood CR, Chapman DF and Paine MS (2012) Networks of practice for co-construction of agricultural decision support systems: case studies of precision dairy farms in Australia. Agricultural Systems 108: 10–18.
ETC-COMPAS (2007) In: Van t’ Hooft K (ed). Endogenous Development in Practice: Towards Well-being of People and Ecosystems. Leusden: ETC-COMPAS.
Haraway D (1988) Situated knowledges: the science question in feminism and the privilege of partial perspective. Feminist Studies 14: 575–599.
Harding SP (2015) Towards an animistic science of the Earth. In: Harvey G (ed) Handbook of Contemporary Animism. London: Routledge.
Harvey MG and Novicevic MN (2002) The hypercompetitive global marketplace: the importance of intuition and creativity in expatriate managers. Journal of World Business 37: 127–138.
Haverkort B (2010) The inter-university initiative CAPTURED: bridging worldviews, ways of learning and ways of knowing. Journal of Ayurveda and Integrative Medicine 1: 56–62.
Hochman Z and Carberry PS (2011) Emerging consensus on desirable characteristics of tools to support farmers’ manage- ment of climate risk in Australia. Agricultural Systems 104: 441–450.
Hodgkinson GP, Langan-Fox J and Sadler-Smith E (2008) Intui- tion: a fundamental bridging construct in the behavioural sciences. British Journal of Psychology 99: 1–27.
Hogarth RM (2010) Intuition: A challenge for psychological research on decision making. Psychological Inquiry 21: 338–353.
Holistic Management International (HMI) (2013) Holistic man- agement whole farm/ranch planning system. Available at: https://holisticmanagement.org/wp-content/uploads/2013/02/ HM-System-Highlights.a.pdf (accessed 15 November 2018).
International Assessment of Agricultural Knowledge, Science and Technology for Development (IAASTD) (2009) In: McIntyre BD, Herren HR, Wakhungu J and Watson RT (eds) Agricul- ture at a Crossroads: A Synthesis of the Global and Sub-global IAASTD reports. Washington, DC: Island Press.
Jarvie I, Milford K and Miller D (eds.) (2006) Karl Popper: A Centenary Assessment Vol III: Science. Aldershot: Ashgate Publishing.
Kahneman D (2003) Maps of bounded rationality: psychology for behavioral economics. American Economic Review 93: 1449–1475.
Khatri N and Ng HA (2000) The role of intuition in strategic decision making. Human Relations 53: 57–86.
Kieft H (2006) Quantum agriculture: bridging frontline physics and intuitive knowledge of nature? In: Haverkort B and Reijntjes C (eds) Moving Worldviews, Reshaping Sciences, Policies and Practices for Endogenous Sustainable Develop- ment. Leusden: COMPAS, pp. 209–218.
Kieft H (2015) Intuitive farming: towards a new vision on nature. Proceedings of the XI international people-plant symposium on diversity: towards a new vision on nature. Acta Horticul- turae 1093: 179–194.
Kieft H (2019) Quantum Leaps in Agriculture. LAP LAMBERT Academic Publishing.
Kirksey E and Helmreich S (2010) ‘The emergence of multispe- cies ethnography.’ From the Editorial Office, Cultural Anthro- pology website, June 14, 2010. Available at: https://culanth. org/fieldsights/277-the-emergence-of-multispecies-ethnogra phy (accessed 24 September 2017).
Knowler D and Bradshaw B (2007) Farmers’ adoption of conser- vation agriculture: a review and synthesis of recent research. Food Policy 32: 25–48.
Lufityanto G, Donkin C and Pearson J (2016) Measuring intui- tion: nonconscious emotional information boosts decision accuracy and confidence. Psychological Science 27: 622–634.
Lunneryd D (2003) Unique decision making with focus on infor- mation use. The case of converting to organic milk production. Acta Universitatis Agriculturae Suecia; Agraria 405, SLU, Uppsala, Sweden. http://epsilon.slu.se/index.html (accessed 15 November 2018).
Lynch T, Gregor S and Midmore D (2000) Intelligent support systems in agriculture: How can we do better? Australian Journal of Experimental Agriculture 40: 609–620.
Madjidi KS (2014) The Ecology of Transformation: A Relational Study Of The Ecology of Leadership Program at the Regen- erative Design Institute. PhD dissertation, University of Tor- onto, Canada.
Makondo CC and Thomas DSG (2018) Linking indigenous knowledge with western science for effective adaptation. Environmental Science and Policy 88: 83–91.
McCown RL, Carberry PS, Dalgliesh NP, et al. (2012) Farmers use intuition to reinvent analytic decision support for managing seasonal climatic variability. Agricultural Systems 106: 33–45.
Nonaka I and van Krogh G (2009) Tacit knowledge and knowl- edge conversion: controversy and advancement in organiza- tional knowledge creation theory. Organization Science 20: 635–652.
Nuthall PL (2012) The intuitive world of farmers – the case of grazing management systems and experts. Agricultural Sys- tems 107: 65–73.
Nuthall PL (2016) The Intuitive Farmer: Inspiring Management Success. Portland, OR: 5M Publishing.
Nuthall PL and Old KM (2018) Intuition, the farmers’ primary decision process. A review and analysis. Journal of Rural Studies 58: 28–38.
Organisation for Economic Co-operation and Development (OECD) (2012) Farmer Behaviour, Agricultural Management and Climate Change. Paris: OECD Publishing.
O ̈hlme ́r B (2007) The need and design of computerized farm management tools – lessons learned from a Swedish Case. Working Paper Series 2007:5. Department of Economics, SLU, Uppsala. https://pub.epsilon.slu.se/3027/ (accessed 15 November 2018).
O ̈ hlme ́r B, Olson K and Brehmer B (1998) Understanding farm- ers’ decision making processes and improving managerial assistance. Agricultural Economics 18: 273–290.
Parry GA (2005) Native wisdom in a quantum world. Shift 9: 29–33.
Paxton R, Klimek M, Vieweger A, et al. (2017) The role of intuition in managing organic farm system health. In: Rah- mann G, et al. (eds) Innovative Research for Organic 3.0 – Volume 1: Proceedings of the Scientific Track at the Organic World Congress 2017, Delhi, India, November 2017. Thu ̈nen Report, No. 54, 1.
Pimbert M (2015) Agroecology as an alternative vision to con- ventional development and climate-smart agriculture. Devel- opment 58: 286–298.
Prokopy LS, Floress K, Klotthor-Weinkauf D, et al. (2008) Deter- minants of agricultural best management practice adoption: evidence from the literature. Journal of Soil and Water Con- servation September 63: 300–311.
Robert M, Dury J, Thomas A, et al. (2016) CMFDM: a methodol- ogy to guide the design of a conceptual model of farmers’ decision-making processes. Agricultural Systems 148: 86–94.
Rosenberg LL (2017) Turi kumwe (we are together): a transdis- ciplinary exploration of the Burundian specialty coffee sector and its sustainability challenges. PhD Dissertation. Stellen- bosch University, South Africa.
Roszak T, Gomes ME and Kanner AD (eds) (1995) Ecopsychol- ogy: Restoring the Earth Healing the Mind. San Francisco, CA: Sierra Club Books.
Sadler-Smith E and Shefy E (2007) Developing intuitive aware- ness in management education. Academy of Management Learning & Education 6: 186–205.
Salas E, Rosen MA and DiazGranados D (2009) Expertise-based intuition and decision making in organizations. Journal of Management 36: 941–973.
Simaika JP and Samways M (2018) Insect conservation psychol- ogy. Journal of Insect Conservation 22: 635–642.
Steiner R (1967) The Stages of Higher Knowledge. Hudson: Anthroposophic Press.
Steiner R (1995) Intuitive Thinking as a Spiritual Path; A Philo- sophy of Freedom. Centennial Edition. Hudson: Anthropo- sophic Press.
United Nations Conference on Trade and Development (UNCTAD) (2013) Trade and Environment Review. Wake up before it is too late: Make agriculture truly sustainable now for food security in a changing climate. New York, NY: United Nations Publication (unctad.org/en/PublicationsLi- brary/ditcted2012d3_en.pdf).
Van Eijk T (1998) Farming Systems Research and Spirituality. PhD Dissertation. Wageningen University, The Netherlands.
Van Eijk T (2019) Spinoza in the light of spiritual development. Vangala RNK, Hiremath BN and Banerjee A (2014) A theoretical framework for knowledge management in Indian agricultural organizations. Article 6. In: Proceedings of the 2014 Interna- tional Conference on Information and Communication Tech- nology for Competitive Strategies, November 2014, Udaipur,
Von Diest SG (2019) Could biodynamics help bridge the gap in developing farmer intuition? Open Agriculture 4: 391–399.
Zylstra MJ, Knight AT, Esler KJ, et al. (2014) Connectedness as a core conservation concern: an interdisciplinary review of the- ory and a call for practice. Springer Science Review 2: 119–143.
Outlook on Agriculture XX(X) 1–8 a 2020
Article reuse guidelines: sagepub.com/journals-permissions DOI: 10.1177/0030727020956665 journals.sagepub.com/home/oag
Saskia G von Diest, Department of Conservation Ecology and Entomology, Stellenbosch University, P/Bag X1, Matieland 7602, Stellenbosch, South Africa; Centre for Complex Systems in Transition, Stellenbosch University, Stellenbosch 7600, South Africa; Centre for Agroecology, Water and Resilience, Coventry University, Ryton Organic Gardens, Wolston Lane, Coventry, Warwickshire CV8 3LG, United Kingdom; Organisation for Noetic Ecology, Garden Route, Western Cape, South Africa. Email: firstname.lastname@example.org