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Purpose – This study aims to analyze the contribution of revenue and consumption cost of soybean farmers.

Design/Methodology/Approach – Data analysis was done by quantitative descriptive analysis. Data were obtained in the form of numbers then the results of the obtained data were presented in the form of a systematic description. The sample in this study is the entire population of soybean farmers in Muara Batu, Aceh Utara by using census method as much as 50 farmers.

Findings – The results showed that the contribution of soybean farm revenue amounted to 6.94%, non-soybean farming amounted to 48.12%, and out farm activities amounted to 44.94%. This indicates that soybean farming activities are enough to contribute to increase the family revenue. Meanwhile, the average amount of household cost for food is 16,696,800 IDR/Year and for non-food is 8,397,500 IDR/Year. The analysis shows that although the contribution of soybean farming revenue is the lowest than the other farms’ revenue, it is very helpful to the farmers for fulfilling the needs of family consumption cost every year.

Research Limitations/Implications – The object of this research is to study all the farmers who utilize the land for soybean farming in Muara Batu. The research limitations are income contribution and consumption cost of soybean farmers.

Practical Implications – The amount of soybean production produced by farmers is much lower. However, the farmers can still increase their income if the amount of production can be increased by more intensification of soybean farming as tough as the use of superior varieties of soil processing, organic fertilizer on soil, balanced and integrated pest control, and harvesting and post-harvesting to reduce food loses.

Originality/Value – The farmers earned revenue not only from soybeans, but also from non-soybean farm and out farm. Soybean farming activities aim to increase revenues in order to meet the needs of the family that consist of food and non–food consumptions.

Small-scale farmers are highly heterogeneous with regard to their types of farming, levels of technology adoption, degree of commercialization and many other factors. Such heterogeneous types, respectively groups of small-scale farming systems require different forms of government interventions. This paper applies a machine learning approach to analyze the typologies of small-scale farmers in South Africa based on a wide range of objective variables regarding their personal, farm and context characteristics, which support an effective, target-group-specific design and communication of policies.

A cluster analysis is performed based on a comprehensive quantitative and qualitative survey among 212 small-scale farmers, which was conducted in 2019 in the Limpopo Province of South Africa. An unsupervised machine learning approach, namely Partitioning Around Medoids (PAM), is applied to the survey data. Subsequently, the farmers' risk perceptions between the different clusters are analyzed and compared.

According to the results of the cluster analysis, the small-scale farmers of the investigated sample can be grouped into four types: subsistence-oriented farmers, semi-subsistence livestock-oriented farmers, semi-subsistence crop-oriented farmers and market-oriented farmers. The subsequently analyzed risk perceptions and attitudes differ considerably between these types.

This is the first typologisation of small-scale farmers based on a comprehensive collection of quantitative and qualitative variables, which can all be considered in the analysis through the application of an unsupervised machine learning approach, namely PAM. Such typologisation is a pre-requisite for the design of more target-group-specific and suitable policy interventions.

The agricultural sector has experienced a transformative impact through the adoption of digital technologies, particularly mobile applications designed for farmers. This study investigates the factors influencing smallholder farmers' willingness to adopt digital application tools in Ogun State, Nigeria, focusing on the IITA herbicide calculator and Akilimo mobile applications.

Data were gathered from 572 smallholder farmers participating in the Zero Hunger project. This research contributes to the limited empirical evidence in Nigeria concerning farmers' willingness to adopt digital application tools. The study analyzes the effects of education, training, access to internet services, smartphone ownership, willingness to use paid applications, awareness of application tools and the cost of digital tools on farmers' willingness to adopt. Gender differentials in willingness to adopt were also explored.

The results indicate positive and statistically significant effects of education, training, internet access, smartphone ownership, willingness to use paid applications, awareness of application tools and the cost of digital tools on farmers' willingness to adopt. However, female farmers exhibited a lower willingness to adopt digital application tools.

Policymakers are urged to create supportive policies promoting basic formal education and provide effective extension services to enhance farmers' training. Additionally, efforts should be made to reduce the cost of digital applications and improve internet accessibility in rural areas. Encouraging female farmers to adopt advanced agricultural technologies is essential. Stakeholders are advised to raise awareness of digital application tools to expedite the adoption of agricultural technologies in the country.

This study will be helpful for the government to determine the state’s readiness for digital agriculture, it will help technology developers and agricultural technology startups to understand the factors determining farmers willingness to adopt digital application tools.

This study offers insights into the readiness of Ogun State, Nigeria, for digital agriculture. It provides valuable information for technology developers and agricultural startups to understand the determinants of farmers' willingness to adopt digital application tools, contributing to the advancement of the agricultural technology landscape.

This study investigates the effect of education on crop insurance knowledge within the context of noncompliance experiences. In addition, the study delves into the role of government endorsement in education, which is instructive for the implementation of future insurance promotions.

The study designs a randomized controlled trial (RCT) conducted in Jiangsu Province, China. A total of 518 sample farmers were randomly assigned to two experiments: The Education Experiment and the government’s Endorsement Experiment, respectively. After conducting a set of rigorous exogeneity tests, econometric analysis was conducted using baseline survey data and post experiment data.

Our results revealed that insurance education served as an effective tool in improving farmers’ insurance knowledge, especially their understanding of insurance mechanisms. However, this effect can be mitigated by the noncompliant insurance experience of farmers. Moreover, government-endorsed education proved to be more efficient in improving farmers’ insurance knowledge, thus highlighting the significance of building trust between insureds and insurers.

This study contributes to the literature by demonstrating that using a simple education tool, such as, brochures, can effectively improve farmers insurance knowledge. In addition, insurance mechanisms are now more urgently in need of universalization than policy information. Furthermore, by conducting the RCT, this study obtains unbiased causal inference on the effect of education on insurance knowledge and underscores the role of government endorsement in this process. In addition, the study illustrates the tradeoff between insurers’ efforts in enhancing education and regulating noncompliant insurance misconducts, which compromises education efforts. Overall, this study provides insights into the marketing strategies of insurers and government propaganda aimed at stimulating farmers’ incentives to purchase insurance.

A partnership model is necessary for palm oil plantations’ sustainability. The developed model does not identify the optimal technique for smallholder palm oil because it faces complex challenges. This study aims to determine a partnership model for sustainable palm oil plantation business in Indonesia.

Qualitative research methods were used, and data analysis was performed using NVivo 12 Plus software, which helps improve the accuracy of qualitative studies and provides implications for evidence-based studies. All respondents, whether through surveys, interviews or focus group discussions, understood their contributions to this research and provided consent.

The results indicate that the core–plasma partnership pattern implemented by companies needs to be considered a relevant model for partnerships in the Indonesian palm oil industry. Social networks play a role in implementing this partnership pattern, which is influenced by the diversity of the actors involved. However, complexity arises from the dynamics of power and position among these actors, which demands increased interaction and mutual trust. Therefore, various dimensions must be considered, including plantation management, product marketing, cultivation techniques and sustainable development.

The research results have limitations, particularly regarding access to information for company policymakers, because there remains complexity related to the position and dominance of power between actors, which influences the achievement of common goals. A more complex analysis is needed to produce complete research. Further studies are required to provide a more comprehensive explanation of the humanist approach in the context of palm plantations.

This study provides an important theoretical implementation: a more humane approach through a partnership model that adds value and is based on aspects of morality in implementing partnerships in the palm oil plantation sector. It also provides new and substantial insights regarding practical implementation for policymakers and practitioners who want to improve partnership practices in sustainable palm oil businesses by implementing value-added and morality-based partnership models in Indonesia as well as other developing countries.

The goal of this study is to predict the farmers’ concerns about agricultural index-insurance (AII) for weather risk mitigation of horticultural crops in hilly regions. The key impetus of analysis is to prioritize the AII requirements based on the farmers’ perspectives using the requirements prioritization approach.

The integrated approach has been applied in this paper. Initially, the MoSCoW prioritization technique has been employed to prioritize the AII attributes utilizing a four-dimensional agriculture insurance scale. Later, the rank sum weighting method was deployed to assign the ultimate rank to AII attributes based on the farmers’ responses.

Findings specified that out of 15 AII attributes, majority of 11 attributes were placed in “must have” and “should have” categories that related to claim, design, premium and grievance management dimensions. However, three AII attributes are placed in the “could have” category. Additionally, findings of rank-sum weighting method-based ranking can help insurers in redesigning farmers-oriented AII services for risk mitigation of horticulture crops by incorporating these ranks as per their priority level.

The prioritized AII attributes are helpful for insurers and managers in order to solve the problems associated with design, premium, claim and grievance management of AII.

Findings deliver significant insights to insurers to incorporate the prioritized AII attributes ranked by farmers.

This is the initial known analysis that integrated the MoSCoW and rank sum weighting method to prioritize the AII requirements prioritization among Indian farmers.

Reducing carbon emissions in agriculture is vital for fostering sustainable agricultural growth and promoting ecological well-being in rural areas. The adoption of Low-Carbon Agriculture (LCA) by farmers holds great potential to accomplish substantial reductions in carbon emissions. The purpose of this study is to explore the farmers' preference and willingness to engage in LCA.

This study employs the Choice Experiment (CE) method to examine farmers' preferences and willingness to adopt LCA, using field survey data of 544 rural farmers in the Weihe River Basin between June and July 2023. We further investigate differences in willingness to pay (WTP) and personal characteristics among different farmer categories.

The empirical results reveal that farmers prioritize government-led initiatives providing pertinent technical training as a key aspect of the LCA program. Farmers' decisions to participate in LCA are influenced by factors including age, gender, education and the proportion of farm income in household income, with their evaluations further shaped by subjective attitudes and habits. Notably, we discovered that nearly half of the farmers exhibit indifference towards LCA attributes.

To the best of the authors' knowledge, this study is the first to investigate farmers' attitudes toward LCA from their own perspectives and to analyze the factors influencing them from both subjective and objective standpoints. This study presents a fresh perspective for advocating LCA, bolstering rural ecology and nurturing sustainable development in developing nations.

The purpose of the research was to extend on previous research by studying latent consumers’ attitude to farmers’ markets. Findings will be used to improve the marketing and publicity of farmers’ markets in order to attract other consumers groups. The people surveyed were not always aware of the term farmers’ market. Some think it is a place where farmers go to buy what they need. Around 94 per cent of people who have already been to a farmers’ market will return because they enjoy the food which is fresh, different, local, etc. and to support farmers. Latent consumers think that farmers’ markets sell fresh, quality, locally produced, tastier, healthier and seasonal food. However they do not expect the food to be cheaper. The most important criteria are quality, freshness and the fact that food is produced locally. Latent consumers would enjoy supporting local producers, information about the products and how to prepare them.

Examines UK milk pricing since market deregulation in November 1994. Finds a wide range of milk price contracts on offer, with many processing companies paying prices above those paid by the voluntary farmer co‐operatives. Looks at the factors influencing dairy farmers’ initial choice of milk supply contract in the months preceding deregulation of the UK dairy sector in November 1994. Finds around 70 per cent of farmers surveyed, slightly above the percentage for all milk producers, signed to supply the voluntary farmers co‐operative, Milk Marque. Then surveys farmers to identify those who have switched supply contract during the year, finding little evidence of movement. Attempts to understand the apparent differences between farmers’ expectations in their initial contract choice and the market realities they have experienced over that period.

With the shifting patterns of rain and dry periods as a result of global climate change, the people of Gunungkidul have to deal with extreme conditions, such as crop failure, ponds and artificial lakes drying up at an alarming rate due to high evaporation. The paper aims to discuss these issues.

Participatory disaster and risks assessment and action planning were carried out to identify how communities perceive risks and identify priorities of actions. Farmers agreed to implement climate adaptive farming which combines organic farming, biological pest control and drought-resistant seedlings from local varieties.

The processes to adaptation required collective actions, paradigm shift and it also constitutes trial and error processes. Acceptance to innovation is mostly one of the major challenges. Working with “contact” farmers and “advance” farmers is the key to the community organizing strategy for innovation and adaptation.

This case study is limited to the adaptation program funded by Indonesia Climate Change Trust Fund in four farmer groups in Purwosari Sub-District, GunungKidul district and Yogyakarta province, Indonesia.

Trainings and direct assistance to climate adaptive farming have benefitted the farmers that they are able to increase the farming production and reduce the risk of crop failure.

The demonstration plot has strengthened farmer groups’ social modalities by working together to shift from traditional into adaptive farming.

This case study described how farmers have shifted from traditional practice into climate adaptive farming.