1. Introduction
Sustainable agriculture has become an increasingly important global issue in recent decades. Around 1.5 billion people worldwide depend on smallholder farms for their livelihoods, and agriculture accounts for around 4% of global GDP [
1]. However, conventional agricultural practices are often unsustainable, with negative impacts on the environment, human health, and the socio-economic well-being of farmers [
2]. The transition to sustainable agriculture requires a new knowledge base involving innovative learning content, forms and processes [
2]. Farmers' local knowledge and experience, as well as their social and learning networks, play a key role in establishing alternative pathways to sustainable agriculture [
3,
4,
5]. In addition, education and training are also critical to improving production efficiency and agricultural sustainability, especially in remote rural areas [
6,
7].
The challenges farmers face in accessing relevant knowledge and adopting sustainable practices have significant impacts on productivity, income and environmental sustainability [
8,
9]. Limited access to information, social and psychological barriers, and lack of infra-structure and support often hinder the adoption of new technologies and lead to environmental degradation due to inappropriate practices [
10,
11,
12,
13,
14,
15]. Given the urgency of this issue, effective farmer learning approaches are needed, including collaboration of local and formal knowledge, participatory training, and a deep understanding of the social and psychological factors that influence farmer behaviour [
2,
12,
13,
16,
17,
18,
19]. Thus, comprehensive efforts to improve farmer learning are expected to contribute to increased productivity, income, and environmental sustainability in the agricultural sector.
Research into the interplay between learning methods, knowledge areas and sustainability outcomes requires the integration of several complementary theoretical frameworks. Starting with theories of knowledge integration and collaborative learning that emphasise the importance of the fusion of formal and informal knowledge and interaction between farmers and researchers through single-loop, double-loop and triple-loop learning processes to improve adaptability [
2,
20,
21]. The Theory of Planned Behaviour provides a foundation for understanding the adoption of information technology by apple farmers, with attitudes and perceived behavioural control positively influencing the implementation of the technology [
22,
23]. The Social Learning and Social Networks approach underlines the significance of knowledge sharing in promoting sustainable agricultural practices and improving efficiency [
24]. The use of this theoretical framework supports the optimisation of precision farming practices that impact the efficient use of resources such as water and fertilizer [
25], as well as improved economic and environmental sustainability through reduced greenhouse gas emissions and increased financial returns [
24,
26].
Previous research on farmer learning methods, their effectiveness, types of knowledge critical for sustainable agriculture, and linkages between farmer learning and knowledge and sustainability outcomes have provided valuable insights. The collaborative learning study in Kenya by Restrepo et al., [
20] showed an increase in farmers' ability to deal with complex challenges, sedangkan penelitian di Swiss oleh [
27] found that sharing transformative knowledge through narratives can strengthen sustainable land management practices. Šūmane et al., [
2] and Ambayoen et al. [
28] highlighted the value of local knowledge and farmers' experiences for their practical relevance, with farmer learning communities in Canada researched by Laforge & McLachlan [
29] emphasised the importance of social learning and informal networks to overcome the lack of formal education in agroecology. Furthermore, a study in Sub-Saharan Africa by Marinus et al., [
30] revealed that the co-operative learning approach can increase the productivity and diversification of small-scale agriculture, while research in India by Chaudhuri et al., [
4] highlighted the crucial role of farmers' social networks in adopting new sustainable agriculture paradigms and technologies.
Although much research has been done on farmer capacity building [
31,
32,
33], There is a significant gap in integrated studies that comprehensively link social learning methods, specific knowledge areas and measurable sustainability outcomes, particularly in the context of unique and specific apple farming communities. Existing research tends to examine these elements separately without considering how their interactions shape sustainable farming systems. In addition, the majority of studies are generic in nature and pay little attention to specific contexts such as differences in agro-ecological, socio-economic, and cultural characteristics between farming regions that can significantly affect affect the effectiveness of capacity interventions [
7,
34,
35]. Therefore, a new research approach is needed that integrates all three elements holistically and considers contextual variations in apple farming systems to produce more appropriate and applicable recommendations.
The objective of this study is to analyse the linkages between learning methods, knowledge areas, and sustainability outcomes to understand how these elements influence each other in the context of apple farming. Furthermore, it specifically analyses the various learning methods used by apple farmers in running their farms, explores the knowledge areas mastered in farm management, and the impact of apple farming practices on farm-level sustainability outcomes.
The achievement of these research objectives will contribute to the findings of previous research: a). the findings of previous research conducted by Cui et al., [
24]; Wang et al., [
36] on the effectiveness of the design of learning interventions for farmers by identifying key factors such as capital, ecological awareness, and technical training that promote the adoption of environmentally friendly technologies; b). research findings Wang et al., [
36], Jiang et al., [
37] of practical relevance to policymakers, extension agencies, and farmer organisations through concrete recommendations for removing institutional barriers and improving technical support that can strengthen apple supply chain sustainability; c). Findings Halland et al., [
38] related to farmer learning by emphasising that effective learning is social and influenced by context, knowledge and motivation, which can then be formulated into a holistic learning platform for sustainable agricultural ecosystems.
2. Literature Review
Social Learning Theory, which later evolved into Social Cognitive Theory (SCT), is a concept developed by Albert Bandura in 1986, as a comprehensive approach to explain human behaviour through the interaction between personal, behavioural and environmental factors (triadic reciprocal determinism) [
39,
40,
41]. The main concept in this theory emphasises that humans are not just passive recipients of the environment, but active agents who have the ability to self-regulate, reflect, and develop self-efficacy beliefs about the ability to perform the actions necessary to achieve certain outcomes [
41,
42,
43]. According to Bandura, learning does not only occur through direct experience, but also through observational learning of others' behaviour and its consequences, with four key processes: attention, retention, reproduction, and motivation [
39,
41]. The theory also introduces the concept of collective efficacy, which is a shared belief in the group's ability to organise and carry out necessary actions. [
42,
44]. Through the mechanism of self-regulation, people can set goals, monitor their own behaviour, and evaluate progress based on the standards they set, resulting in sustainable behaviour change [
39,
45]. Bandura's approach has proven useful in domains such as education, psychotherapy, health behaviour change, and career decision-making [
40,
44].
Social learning methods in the context of farmer learning rely on mechanisms such as modelling and role modelling, where farmers observe and replicate the actions of role models through group discussions and learning videos that showcase sustainable soil management practices [46,[
27]. Through intense interaction and self-reflection, farmers discuss experiences and challenges, thus deepening their understanding of new technologies and adaptation to environmental changes [
47,
48,
49]. This approach, which combines direct observation and experience exchange, not only increases practical knowledge but also strengthens social networks that support more sustainable agricultural innovations [
36,
50,
51,
52].
Farmer knowledge areas are a collection of knowledge areas that include decision-making models, understanding pressures across scales, temporal dynamics [
53], integration of formal and informal knowledge [
8,
54,
55], experiential learning [
56,
57], and distributed knowledge networks [
58,
59] which plays an important role in shaping farmers' practices and adaptations to the dynamics of agricultural challenges.
Previous research has confirmed the significance of diverse and integrated farmer knowledge in supporting sustainable and resilient agriculture. Šūmane et al. [
2] and Restrepo et al., [
20] found that the integration of formal and informal knowledge can lead to more innovative and sustainable solutions due to its practical and local. Marinus et al. [
30] found that farmers in Kenya who participated in a co-defence approach had more diverse and cohesive knowledge, which contributed to increased productivity and diversified farming systems. Brown et al., [
60] identified that model frameworks that integrate socio-demographic aspects with agricultural models can increase the productivity and resilience of food systems. Castella et al., [
61] emphasises the critical role of actor networks and agroecological innovations in the transformation of agricultural practices towards sustainability through multi-actor knowledge networks. Gil et al. [
62] linking diverse and rich farming systems with increased resilience to climate variability, proving that comprehensive knowledge integration enables farmers to be more adaptive and resilient in the face of complex environmental and social challenges.
This study is expected to contribute to previous research on the effectiveness of farmer learning intervention design by identifying key factors such as capital, ecological awareness, and technical training that drive the adoption of environmentally friendly technologies by farmers Cui et al., [
24] and Wang et al., [
36]. Then to the research results relating to practical relevance for policy makers, extension agencies, and farmer organisations through concrete recommendations for removing institutional barriers and improving technical support that can strengthen apple supply chain sustainability [
36,
37]. Further to the findings of Halland et al. [
38] on farmer learning which asserts that effective learning processes are social and influenced by context, knowledge, and motivation, which can then be formulated into a holistic learning platform for sustainable agricultural ecosystems.
Agricultural sustainability is a strategic concept that integrates environmentally, economically, and socially equitable practices to fulfil food needs while maintaining ecosystem quality and long-term profitability [
63,
64]. The system emphasises soil health, water use efficiency, and reduced greenhouse gas emissions through practices such as organic farming and conservative tillage [
65]. Despite the challenges of scalability, short-term economic constraints, and the need for policy change, sustainable agriculture approaches remain a key solution for future global food security and natural resource conservation [
63]. Effective implementation requires a reorientation of agricultural policy, the development of renewable energy from agricultural sources, and fundamental changes in the relationship between humans and their natural environment [
66,
67].
The linkages between social learning methods, knowledge areas, and sustainability outcomes in farmers are important elements in achieving sustainable farming systems. Marinus et al., [
30] identified that a collaborative learning approach between farmers and researchers in Kenya significantly improved agricultural productivity and sustainability. Šūmane et al. [
2] emphasised the importance of integrating local knowledge with formal knowledge to create more integrated agricultural solutions. Restrepo et al., [
20] demonstrated that iterative farm workshops and collaborative monitoring processes contribute to increased farm resilience to environmental and market changes. Hazard et al. [
68] found that social learning facilitates farmers in understanding the local context and integrating new knowledge into farming practices. Kaya [
69] and Thomas et al. [
8] noted that the incorporation of different types of multidisciplinary knowledge helps farmers overcome complex agricultural challenges. While Kakisina [
70] points out that this integrated approach supports farmers to be more innovative and adaptive in the face of change, thereby improving overall sustainability outcomes.
2. Materials and Methods
This research uses a qualitative approach with a transcendental phenomenological design [
71], aiming to understand the essence of learning experiences that specifically occur in apple commodity farming communities in Tutur District, Pasuruan Regency. The transcendental phenomenological approach was chosen because of its ability to describe the general meaning of individual life experiences related to certain phenomena, which consists of a description of "what" the subject experiences (textural description) and "how" the subject experiences and interprets his experience (structural description).
The research was conducted in Andonosari Village, Tutur Sub-district, Pasuruan Regency from January to August 2024. The location selection was done deliberately with several considerations: (1) Andonosari village is one of the pioneering villages in developing apple as a location-specific superior commodity in Tutur sub-district since 1965s; (2) one of the three villages with the largest apple orchards in Tutur sub-district; (3) about 48.6% of the village area is used as apple plantation land that supplies various large markets in Jakarta, Central Java, Bali, Sulawesi, and Kalimantan; and (4) the village has a large apple orchard; (4) has the highest number of farmer groups compared to other villages.
The research informants were determined purposively to fulfil the rules of transcedental phenomenological research, consisting of 10 key-informants from a total of 19 participants. The key-informant criteria are farmers who have experience in apple farming and are considered the most knowledgeable about how apple farmers learn in Andonosari Village. Informants came from various role characteristics such as opinion leaders/community leaders, harvest collectors, farm youth, group administrators, self-help extension workers, input shop owners, migrant farmers, indigenous farmers, tenant farmers, and farm labourers. Variations in informants' backgrounds included age (22-65 years old), education level (elementary to master's degree), and apple farming experience (7-40 years).
Data collection was conducted through three methods: (1) The indept interview uses an interview guideline for the research informants; (2) direct observation of various informant activities such as preparation of agricultural production facilities, activities on the farm, socialisation with other farmers, development of agricultural products, group and social activities; and (3) Secondary data collection from village monographs, related agencies, and private parties.
To ensure the validity of the data, the researcher tested the trustworthiness of the data through source triangulation and method triangulation techniques. Source triangulation was carried out by cross-checking data from different informants, while method triangulation was carried out by comparing data obtained through interviews, observations, and document/archive reviews. The researcher also applied epoche (confinement) to personal experiences during the interview process and analysis to gain a fresh perspective on the phenomenon studied. Data analysis using Colaizzi's modified seven-step method [
72] to ensure that no detail of the phenomenon is missed. The stages of analysis include: (1) re-reading the interview transcripts; (2) extracting significant statements; (3) giving meaning to the statements; (4) repeating steps 1-3 for each interview and starting to create themes; (5) compiling a full description; (6) summarising descriptions of the fundamental structure of the phenomenon; and (7) ensuring data credibility through discussions with experts and independent reviewers. In the early stages of analysis, the researcher used the help of the NVivo 12 Plus programme to facilitate the process of coding and identifying themes.
3. Results
3.1. Social Learning Methods Used by Apple Farmers in Running Their Plantation Businesses
Understanding how farmers learn and develop their knowledge is crucial in supporting the sustainability of apple farming. In Tutur-Pasuruan, the apple farmer learning system has evolved over decades into a highly complex and integrated system. The system incorporates a variety of social learning methods, ranging from very traditional ones based on experience and local wisdom, to the adoption of modern technology and digital learning. Based on in-depth analyses of interviews with apple farmers, 11 main groups of social learning methods were identified that complement and interact with each other as shown in
Table 1.
The various social learning methods of Tutur apple farmers identified in
Table 1 are not independent, but interrelated to form a complex network of knowledge. Each group of methods has its own characteristics, strengths and roles in building collective knowledge, with farmers combining methods according to their needs and context.
Figure 1 is used to illustrate the flexibility and adaptability of learning methods. The adaptive and dynamic integration of methods allows farmers to continue learning and adapting to the challenges of apple cultivation.
The main foundation of apple grower learning lies in hands-on experience in managing the orchard. This method involves careful observation of the crop, experimentation with different treatments, and regular monitoring of crop responses. Farmers develop a heightened sensitivity to the relationship between plants and their environment through consistent observation of natural phenomena. This learning process is highly empirical and relies on practical experience in the field. Hands-on experiential learning was identified as the most commonly used by farmers (15.14%), indicating that apple farmers still rely heavily on learning through practical and hands-on field experience. This reflects that, for farmers, the characteristics of apple farming require great sensitivity and a deep understanding of the crop that can only be gained through practical experience.
Modern and digital learning is the second dominant method used (12.12%), indicating a significant transformation in the way farmers access and process information. This is mainly driven by the younger generation of farmers who are more familiar with digital technology and the internet. Interestingly, despite being modern, the proportion of use of this method does not far exceed that of traditional methods, suggesting that for apple farmers, digitalisation complements rather than replaces conventional methods.
Five groups of learning methods - adaptive learning, community-based, family and tradition-based, learning from specialists and workers, learning from comparison, and learning from failure - each had the same proportion of usage (9.38%). This even distribution of the application of learning methods shows the balance and integration of various learning resources within the apple farming community.
Adaptive learning plays a vital role, where farmers make gradual changes, evaluate economic aspects, and adapt to natural changes. Meanwhile, the social dimension of learning is reflected in community-based learning. Farmers share knowledge through informal interactions in social and religious gatherings. The social networks formed facilitate the exchange of information and experiences.
Family-based learning and tradition are critically important pillars. Knowledge is passed down from generation to generation, involving all family members, combining time-tested practices with adaptations to the times. This creates both continuity of knowledge and room for innovation. The role of specialists, farm workers and farm labourers who move between farms also serves as agents of knowledge transfer, with the support of technical inputs from experts. At the same time, farmers learn through comparison, both with model farms and cultivation practices in other regions. Meanwhile, learning from the market is crucial, with collectors and sellers of agricultural inputs acting as a source of information and a link to market demands.
Learning from failure is a valuable and significant source of knowledge (6.25%), where farmers analyse patterns of failure to find solutions. Likewise, institutional learning through farmer groups and cooperatives, although present, tends to be limited and more focused on administrative aspects (6.25%). Documentation, both personal and collective, has a very limited proportion of use (3.13%), but is still a significant part of the social learning system of apple farmers.
This whole social learning system reflects collective wisdom that combines technical, social, economic and ecological aspects in a dynamic and adaptive manner. This allows farmers to survive the challenges of apple cultivation. Interestingly, although informal, this social learning system shows complexity and depth that goes beyond formal learning systems.
An interesting finding from this distribution of the use of social learning methods is how apple farmers developed a very balanced and adaptive social learning system. Although experiential learning is dominant, no method is particularly dominant (the highest proportion is only 15.14%), suggesting that farmers tend to combine various learning methods. The relatively low proportion of institutional learning (6.06%) indicates the lack of role of formal institutions in farmers' learning process, while the high proportion of modern and digital learning methods (12.12%) indicates the potential for developing a social learning system that is more integrated with modern technology.
This distribution also reflects the complexity and dynamics of social learning in apple farming communities, where various social learning methods do not stand alone but complement each other to form a comprehensive social learning system. This suggests that capacity building efforts for apple farmers need to consider and integrate these various social learning methods, rather than focusing on just one or two methods.
3.2. Knowledge Areas Mastered by Apple Farmers in Managing Their Orchards
Apple farmers in Tutur have developed an extraordinarily complex and deep knowledge system through years of experience in dealing with various environmental, technical, social and economic challenges. Based on the interviews conducted, more than 60 specific knowledge areas were identified that can be grouped into 11 main categories that are interrelated and form a comprehensive local knowledge system. This knowledge is formed through a long learning process from direct experience, observation, and information sharing among farmers, with minimal contribution from the formal extension system, as outlined in
Table 2.
The areas of farmer knowledge identified in
Table 2 indicate the complexity and depth of the local knowledge system of apple farmers in Tutur, demonstrating the remarkable adaptive capacity of farmers in the face of environmental, technological and economic changes.
Figure 2 shows the proportion of different knowledge areas mastered by apple farmers in managing their orchards. The proportions reflect the priority and focus of apple farmers' knowledge in managing their orchards, with primary attention to aspects that directly affect fruit productivity and quality, as well as the sustainability of their farms. Such knowledge, built largely through practical experience and passed on informally, is a valuable asset that deserves to be documented, valued and integrated into future agricultural development programmes.
Based on
Figure 2, Farm Management, Cultivation Practice, and Nutrient and Soil Management are the most dominant apple farmer knowledge used and developed (15.87%). Farm Management encompasses farmers' efforts to develop various strategies to optimise business efficiency and resilience, including diversification systems, crop rotation arrangements, financial management, and land-livestock integration. As Mr YU explained, farmers with multiple farm locations can arrange different harvest times to reduce risk and stabilise income. Mr DN demonstrates an awareness of economics with detailed calculations of the cost per tree and capital required for a given area.
Cultivation practices, including various locally developed techniques such as "mrithil" (leaf thrashing), branch pruning, fruit thinning, and "mbekuk" (branch bending). Mr SLh explained that the "mbekuk" branch technique not only makes harvesting easier but also increases productivity as "there are more flowers". Farmers have also developed intercropping techniques with compatible crops to optimise land use and reduce farming risks, as practised by Mr AP, Mr MY, Mrs NQ and Mr HM.
Another dominant knowledge area (15.87%) is on Nutrient and Soil Management. Farmers not only understand the nutritional needs of crops, but also adapt to declining land productivity due to long-term intensive chemical use. They have started to switch to the use of organic materials such as PGPR, MOL, and bio-urine as AM did. The ability to identify symptoms of nutrient deficiencies and understand changes in soil pH has also developed, such as Mr MY's realisation that the pH of his apple orchard only reached 5.2, far below optimal.
Plant Health Management was the next dominant knowledge area (14.29%), reflecting the importance of this aspect given the high susceptibility of apples to pest and disease attacks. Farmers have developed control systems that include identification of pests, application of pesticides and fungicides, formulation of pesticide combinations, and understanding of pest resistance. Their knowledge has evolved from mere brand recognition to an understanding of the active ingredients in the pesticides, as Pak DN said, "So now what we are told is the active ingredients now. In the past, it was not”.
Environmental Adaptation Management, Genetic Resources Management, and Plant Physi-ology and Phenology each have a fairly dominant share (9.52%). In the aspect of environmental adaptation, farmers develop knowledge on location-specific cultivation techniques, water conservation, and understanding of local ecology. Mr DN revealed that proximity to the forest has an effect on apple production, demonstrating a deep understanding of ecological relationships in the farm environment.
In genetic resource management, farmers understand the characteristics of local apple varieties and their adaptability to specific environmental conditions. Mr TM revealed that Rome Beauty and Manalagi varieties are more resistant to pests and diseases than imported varieties. Mr MY emphasised that: "the best apple seedling underbelly is the alas apple (forest apple)".
For plant physiology and phenology, farmers have a deep understanding of the stages of growth, the process of flowering and fruiting, and the response of plants to growth regulators. Mr DN and Mr TM revealed that the process from flowering to fruiting takes about 15 days, although not all flowers bloom at the same time. This understanding allows farmers to manage the apple production cycle more effectively.
Post-harvest and Market Management received a share of 7.94%, indicating that farmers also pay attention to aspects of harvest handling and marketing. They understand the marketing system, fruit quality criteria, and post-harvest handling techniques. Some farmers have developed methods to minimise pesticide residues by wrapping apples in plastic, as practised by Mr HI, increasing the selling value and safety of their products.
Technology Transfer has the smallest share at 1.59%, indicating that this aspect still needs to be improved among apple farmers. Nonetheless, the overall knowledge aspects reflect how apple farmers in Tutur have developed a comprehensive and contextualised knowledge system, adapting to the environmental and economic challenges they face, with dominance on aspects of farm management, cultivation practices and soil nutrient management.
3.3. The Impact of Apple Cultivation Practices on Sustainability Outcomes at the Farm Level
Apple cultivation in the Tutur region has undergone a drastic transformation from its heyday in the 1990s to its current critical state with only 20-30% of the apple population remaining. Four dimensions of sustainability have been significantly impacted: economically, declining profitability due to high production costs and low productivity has driven farmers to switch to dairy cattle and alternative crops; environmentally, soil degradation, pesticide dependency, and climate change have worsened cropping conditions; socially, the crisis of farmer regeneration and the degradation of social capital have led to the loss of local knowledge; while in the innovation dimension, some young farmers have begun to adopt technologies such as PGPR, MOL, and the use of digital media, although still limited, as described in
Table 3.
The conditions identified in
Table 3 reflect that apple farming practices in Tutur face significant sustainability challenges across all dimensions. Economic decline, environmental degradation and social challenges have caused many farmers to switch to other commodities. Despite innovation efforts from young farmers, limited mentoring and knowledge sharing slowed the transition to a more sustainable system. This means that without appropriate interventions and stronger collaboration between farmers, academia, the private sector, and the government, the sustainability of apple farming in the region will continue to be threatened.
The sunburst diagram (
Figure 3) presents a comprehensive analysis of how apple cultivation practices affect sustainability outcomes at the farm level, organised into four main dimensions: Economic (23.5%), Environmental (23.5%), Social (26.5%), and Innovation (26.5%). The percentages appear to indicate the number of aspects associated with the dimensions of sustainability previously identified in
Table 3.
The economic dimension reveals some of the challenges apple farmers face. Changes in income structure (4.4%) reflect declining profitability as costs rise while apple prices remain volatile. Business diversification (4.4%) has become a necessary strategy, with many farmers supplementing their income through dairy farming or cultivation of alternative crops such as citrus and avocado. Investment patterns (4.4%) have changed drastically since the heyday of the late 1990s, when apple farming generated enough profit for farmers to make large investments in land and vehicles. Most worrying is the reliance on middlemen (4.4%), as farmers often sell their crops to middlemen at prices far below market value, with payments often delayed by 15-20 days or even more than 2 months. Some farmers even suffer heavy losses as their apples end up not being paid for.
Environmental factors represent a significant threat to sustainability. Apple cultivation in Andonosari has led to soil degradation (4.4%) through intensive chemical use over decades, with farmers reporting declining soil quality despite abundant organic inputs. Heavy reliance on chemical pesticides (4.4%) has created a cycle of increasing application rates as pests develop resistance, while pest and disease infestations (5.9%)-especially "nyawo" (crusting) and root canker-continue to devastate orchards. The deterioration of tree quality (4.4%) is evident as trees that once yielded over 100kg per tree now only yield 15-20kg, with overall productivity declining by around 80%.
Social impacts reflect profound changes in the farming community. A crisis of farmer regeneration (4.4%) threatens as younger generations prefer other careers, leaving aging farmers without successors. Degradation of social capital (4.4%) is evident in reduced knowledge sharing, with successful farmers often reluctant to share techniques with others. Changing group patterns (4.4%) indicate the declining effectiveness of farmer groups, which now function primarily as administrative vehicles for subsidy distribution rather than learning communities. Changes in regional identity (4.4%) are visible as Andonosari shifts from being known for apple production to dairy farming, while social practices of learning (4.4%) reveal how knowledge is mainly transferred through informal observation and experimentation.
The innovation dimension highlights farmers' responses to these challenges. While the adaptation of farming practices (4.4%) is ongoing, with farmers continuing to adjust their approach through trial and error, the adoption of organic approaches (4.4%) remains limited due to transitional difficulties. Commodity switching (4.4%) is increasingly common, with many farmers replacing apples with honey siem oranges or converting orchards to pasture. Some innovative farmers utilise information technology (4.4%), especially YouTube, to learn new techniques, while others pursue alternative entrepreneurship (4.4%) through processing activities such as juice production.
Together, these dimensions illustrate how apple farming in Andonosari has reached a critical sustainability threshold, with approximately 60-80% of orchards already lost and continued decline likely without significant interventions in cultivation practices, knowledge systems, and market structures.
3.4. The Relationship between Learning Methods, Knowledge Areas and Sustainability Outcomes of Apple Farmers
Apple farming in Tutur shows a complex relationship between learning methods, knowledge domains and sustainability outcomes. The analysis shows a complex pattern of interrelationships between apple farmers' learning methods, their knowledge domains and their impact on the sustainability of apple farming in Tutur. A Sankey diagram (
Figure 4) visualises this relationship, with streams connecting the three main components, showing the dominance of certain learning methods and preferences for sustainability outcomes.
Hands-on experiential learning methods dominate in apple farmers' knowledge systems, as evidenced by the thickness of the streams linking them to various knowledge areas, especially the practicalities of cultivation and plant health management. This "trial and error" approach has a significant impact on economic and environmental sustainability, and fosters innovation. As seen in the case of B-Se (a homemade pesticide) which, although not successful, has provided valuable lessons that the transition to organic systems should be gradual. Farmers routinely do trial and error, trying different approaches until they find practices that are effective for their land conditions. As Mr YU said, "It means you have to try, if you don't try you can't". Mr AM exemplifies this by recounting his experimentation in applying PGPR to vegetables first before using it on apples.
The field of Plant Health Man-agement knowledge is at the centre of apple farmers' attention, as evidenced by the large flows in and out of this field. This reflects the disease and pest challenges faced by apple farmers, such as root canker and lice, which threaten the sustainability of their farms.
Family and tradition-based learning is primarily concerned with cultivation practices and managing genetic resources, with more sustainability outcomes in the social dimension. Knowledge is passed down through generations, as in the case of the apple branch bending technique passed down from previous generations, creating strong social ties between generations of farmers.
Economic sustainability emerged as the most dominant outcome, indicated by the heavy flow towards this dimension. This indicates that farmers' main motivation in learning and applying new knowledge is to ensure the economic sustainability of their farms, especially given the price and market challenges they face.
Community-based learning is particularly prominent in the areas of plant health management and cultivation practices. This method contributes to social sustainability through informal meetings, such as during "jagongan" at warung, where farmers share their experiences in dealing with pests and diseases. However, some successful farmers tend to be reluctant to share their knowledge due to price competition and prestige.
The social sustainability dimension shows mixed results. On the one hand, there is intergenerational knowledge erosion with many young farmers reluctant to continue apple farming. On the other hand, some young farmers such as Mr AM, Mr DN and Mr UB have developed innovative approaches, combining traditional knowledge with new information from digital sources, creating new ways to maintain sustainable apple cultivation.
Learning from failure and adaptive learning play an important role in influencing environmental adaptation management, showing how farmers learn to adapt to changing environmental conditions, such as switching to citrus, vegetables, avocados, or relying on dairy cows when apple productivity declines.
Specialist and worker learning is generally related to cultivation practices and plant health management. Farm labourers who move between workplaces are agents of knowledge transfer between farms, as Mr AM said, "The workers move around. From one farm to another. So they also have a lot of experience".
Modern and digital learning is being embraced, especially by young farmers who utilise platforms such as YouTube and the internet to learn nutrient and soil management techniques. Nutrient and soil management is more connected to this method, indicating that farmers are starting to adopt new technologies and knowledge in this aspect, especially in the use of organic fertilisers and soil conditioners.
Learning from documentation, while not as prevalent as other methods, plays an important role in plant health management and farm management. Some farmers like Mr HI maintain detailed records of pesticide and fertiliser use, helping them to make better decisions.
Interestingly, institutionalised learning shows a relatively smaller flow compared to other learning methods. This indicates the limited role of formal extension and research institutions in apple farmers' knowledge system, where farmers trust the practical experience of fellow farmers more than extension officers.
Learning from the market and learning from comparison significantly influenced post-harvest management and marketing, which in turn contributed to economic sustainability. Farmers learnt that their apples sell better labelled as "Apel Batu" even though they come from Tutur, and understood market preferences for certain fruit qualities and quantities. Mr AM explains: "In general, the way farmers learn here is by imitating their friends. A friend uses a certain medicine with good results, they try to use it in their fields."
Innovation as a sustainability outcome was seen to come from diverse learning methods and knowledge areas, showing that innovations in apple farming emerged from a combination of different knowledge sources and learning approaches. These include the development of PGPR, MOL and bioactivators by young farmers, as well as the adaptation of cultivation techniques to overcome the challenges of declining productivity. Technical knowledge includes pruning, bending and leaf threshing techniques that are locally developed and characterise apple cultivation in the region. Mr SLh explains: "There are many techniques for pruning, depending on the request of the orchard owner". Farmers have in-depth knowledge of the traits of local apple varieties such as Rome Beauty, Manalagi and Ana, including their growth characteristics and storage capacity. Farmers have also developed ecological knowledge about the relationship between plants, soil and environmental conditions. According to Mr MY, soil degradation has become a major problem: "The most important thing is soil improvement. The problem is that the awareness to restore it is very difficult."
Overall, apple farmers' learning methods are diverse and complementary, covering a wide range of knowledge areas from cultivation practices to marketing. While economic sustainability is the main focus, there is an increasing awareness of the importance of environmental sustainability, especially in relation to soil health and the reduction of chemical inputs. The social dimension of sustainability is seen in the strengthening of community ties through knowledge sharing, albeit sometimes limited by competition. While the sustainability of innovation arises from the combination of multiple sources of knowledge and flexible and adaptive social learning approaches.
This study shows that the sustainability of apple farming in Tutur requires a stronger integration of learning methods with the application of evolving knowledge. Interventions that support knowledge-sharing platforms, collaborative research and policy support for sustainable practices can help bridge the knowledge gap and strengthen future sustainability outcomes.
4. Discussion
This research uncovers the complex mechanisms linking social learning methods, knowledge areas and sustainability outcomes in apple farmers in Tutur. The main findings show that apple farmers have developed a highly adaptive learning system, with 11 clusters of complementary learning methods, with the dominance of experiential learning (15.14%) and digital modern learning (12.12%). This confirms that apple farmers rely on empirical approaches combined with modern technology to deal with cultivation challenges. The identified farmer knowledge system is very comprehensive, covering 11 main categories with 60 specific knowledge areas, where farm management, cultivation practices, and soil nutrient management dominate the proportion of knowledge (15.87% each). Sustainability results show a multidimensional transformation in the interrelated economic, environmental, social and innovation aspects, with apple populations remaining only 20-30% of their former glory.
This finding confirms the argumentation of Šūmane et al. [
2] and E. D. Cahyono et al. [
22] on the importance of blending formal and informal knowledge in building sustainable agricultural pathways. In line with research Restrepo et al. (2018) In Kenya, the research confirmed that collaborative learning improved farmers' ability to deal with complex challenges, although in Tutur the process was more informal and less structured. The results also reinforce the findings of Chaudhuri et al., [
50,
51,
73] on the crucial role of social networks in the adoption of sustainable agricultural practices, where Tutur apple farmers learnt through informal social interactions such as "jagongan" in coffee shops and religious gatherings.
In contrast to the research of Laforge and McLachlan [
29] In Canada, which found farmer learning communities as a solution to the lack of formal education, this study reveals that Tutur apple farmers tend to rely on experiential learning with minimal contributions from the formal extension system. This indicates a gap between the formal extension system and the real needs of farmers, as well as the potential for developing a more integrated learning system. The unique contribution of this research is the comprehensive identification of apple farmers' social learning methods that have not been systematically documented before, as well as an in-depth exploration of the interrelationships between learning, knowledge and sustainability that shape apple farming systems.
This study is in line with the findings of Cui et al., [
24] and Wang et al., [
36] on the effectiveness of learning intervention designs for farmers. Key factors such as capital, ecological awareness and technical training that drive the adoption of green technologies were identified in this study, but in the unique context of apple farmers facing the challenges of regeneration and environmental degradation. The results also reinforce the findings of Wang et al. [
36] and Jiang et al., [
37] on the importance of removing institutional barriers and improving technical support for apple supply chain sustainability, with additional practical recommendations for policy makers, extension agencies and farmer organisations. In addition, the research findings support the arguments of Halland et al., [
38] that effective farmer learning is social and influenced by context, knowledge and motivation, which can be formulated into a holistic learning platform for sustainable agricultural ecosystems.
Theoretically, the research findings enrich Bandura's Social Learning Theory framework with the specific context of apple farmers, showing how social learning occurs through observation, direct experience and social interaction. The research revealed that self-efficacy and collective efficacy [
40,
42,
44] are formed through shared experiences of success and failure within the farming community. The results also extend the understanding of triadic reciprocal de-terminism ) [
39,
40,
41] by showing how personal (economic motivation), behavioural (cultivation practices) and environmental (ecological and social context) factors influence each other in apple farmers' learning. Apple farmers do not simply respond passively to environmental changes, but become active agents who develop adaptive strategies through experimentation and reflection, as Mr YU expressed, "You have to try, if you don't try you can't." This finding reinforces the concept of human agency in Social Cognitive Theory, which emphasises the ability of individuals to self-regulate and adapt [
40,
44,
45].
This research also confirms social learning mechanisms such as modelling and role modelling as proposed by Dooley. [
74] and Fry & Thieme [
27], where apple farmers learn through observing the behaviour of other farmers and its consequences. Attention, retention, reproduction, and motivation processes [
39,
41] are evident in how farmers notice successful farming practices, remember important information, try to apply it, and are motivated by the potential for better economic outcomes. These findings reinforce the relevance of Social Learning Theory in the agricultural context and show how it can be applied to understand farmers' learning processes more comprehensively.
The research findings have significant practical implications for the development of agricultural extension systems. Firstly, extension services need to integrate various social learning methods that have developed among farmers, rather than relying solely on formal approaches. Second, farmer capacity building programmes should take into account the depth and breadth of local knowledge that has developed, with a focus on aspects of farm management, cultivation practices, and soil nutrient management. Third, extension interventions need to be designed with a comprehensive consideration of sustainability dimensions, not only economic but also environmental, social, and innovation aspects.
In terms of policy, the research findings highlight the need to reorient horticultural development policies by considering the location-specific context. Policies need to support business diversification to reduce risk, strengthen farmer institutions as learning platforms, and improve farmers' access to markets to reduce dependence on collectors. In addition, there is a need to invest in collaborative research that involves farmers as active partners, not just objects of research.
A surprising finding in this study was the low contribution of institutionalised learning (6.25%) compared to other learning methods, despite the presence of farmer groups and extension workers. This phenomenon may be due to the less participatory and more administratively orientated extension approach, which is less relevant to farmers' needs. This suggests the importance of reforming the extension system to better accommodate farmers' existing social learning.
The methodological strength of this study lies in the transcendental phenomenological approach that allows for in-depth exploration of apple farmers' learning experiences, with triangulation of sources and methods enhancing the credibility of the findings. The diversity of informants from various characteristics enables a comprehensive understanding of the phenomenon under study. However, the research has limitations in terms of generalisation of findings due to the site-specific context. Nonetheless, the depth of analysis provides valuable insights into farmer learning dynamics that can serve as a reference for similar research in other locations.
The research identified several knowledge gaps that need to be addressed in future studies. Firstly, comparative research on farmers' social learning systems in different apple production centres is needed to identify common patterns and contextual variations. Secondly, longitudinal studies are needed to understand the evolution of farmers' learning systems and knowledge over time, especially in the context of climate and economic changes. Third, experimental research on the effectiveness of different learning methods in improving apple farm sustainability can provide an empirical basis for the development of more effective extension programmes.
The sustainability of apple farming in Tutur faces serious challenges with population declines of up to 20-30%. Without adequate interventions, the long-term sustainability of apple farming in the region is threatened. The in-depth understanding of the linkages between learning methods, knowledge areas and sustainability outcomes revealed in this study provides a basis for developing more effective and contextualised in-vention strategies. Integration of local knowledge systems with formal knowledge, strengthening of knowledge-sharing platforms, and policies that support sustainable practices are key to reversing this downward trend and revitalising apple farming in Tutur.
5. Conclusions
The results reveal a complex interplay between social learning methods, knowledge areas and sustainability outcomes among apple farmers in Tutur, where farmers have developed a highly adaptive learning system with 11 clusters of complementary learning methods. Experiential learning (15.14%) and modern digital learning (12.12%) are the dominant methods, reflecting a combination of empirical approaches and modern technology in dealing with cultivation challenges. This finding confirms the argument of the importance of blending formal and informal knowledge in building sustainable agricultural pathways, with the development of a comprehensive farmer knowledge system covering 11 major categories and 60 specific knowledge areas, of which farm management, cultivation practices, and soil nutrient management dominate the proportion of knowledge (15.87% each). These complex linkages occur through mechanisms of observation, direct experience and social interaction that shape self-efficacy and collective efficacy in farming communities, while extending the understanding of triadic reciprocal determinism by showing how personal, behavioural and environmental factors influence each other in apple farmer learning.
The practical implications of this research include the need to integrate various social learning methods that have been developed into the extension system, taking into account the depth and breadth of local knowledge and designing interventions that consider sustainability dimensions comprehensively. Reorientation of horticultural development policies needs to be done by considering location-specific contexts, supporting business diversification to reduce risks, strengthening farmer institutions as learning platforms, and increasing farmers' access to markets to reduce dependence on collectors. The low contribution of institutional learning (6.25%) compared to other learning methods indicates the importance of reforming the extension system to better accommodate farmers' existing social learning, with a more participatory approach and oriented towards farmers' real needs rather than administrative aspects alone.
The challenge of apple farming sustainability in Tutur is very serious with population decline to 20-30% of its former glory, so several follow-up studies are needed including comparative studies on farmers' social learning systems in various apple production centres, longitudinal studies to understand the evolution of farmers' learning systems and knowledge over time, and experiential research on the effectiveness of various learning methods in improving the sustainability of apple farming. Efforts to revitalise apple farming require integration of local knowledge systems with formal knowledge, strengthening of knowledge-sharing platforms, and policies that support economically and ecologically sustainable practices. An integrated approach linking economic, environmental, social and innovation dimensions is needed to create effective interventions to reverse the downward trend and strengthen the long-term resilience of apple farming in the region.