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The study examined the influence of environmental standards set by the SME agro-based processing firms and farmers' environmental empowerment on farmers' adoption of environmentally friendly agricultural practices; and the mediating role of empowerment on the relationship between SME agro-based processing firm environmental standards and farmers' adoption of environmentally friendly agricultural practices.

Data was collected from purchasing managers of the agro-based processing firms. The SPSS software, SMART PLS and CB-SEM software were used to obtain results on the influence of environmental standards set by the SME agro-based processing firms on adoption of environmentally friendly agricultural practices; the influence of farmers' environmental empowerment on adoption of environmentally friendly agricultural practices and the mediating role of farmers' environmental empowerment on the relationship between SME agro-based processing firm environmental standards and farmers' adoption of environmentally friendly agricultural practices.

Findings indicated that SME agro-processing environmental standards have an influence on farmers' adoption of environmentally friendly agricultural practices. Empowering farmers in environmental issues influenced their adoption of environmentally friendly agricultural practices. A partial mediation effect was observed on testing the mediating role of farmers' environmental empowerment on the relationship between SME agro-based processing firm environmental standards and farmers' adoption of environmentally friendly practices.

The study mainly focused on the upstream part of agricultural supply chains. The research has implications to decision-makers in government concerned with enhancing environmentally friendly practices among farmers in general.

The influence of SME agro-based processing firm environmental standards on farmers' adoption of environmentally friendly agricultural practices; the influence of farmers' environmental empowerment on farmers' adoption of environmentally friendly practices; and the mediating role of farmers' environmental empowerment on the relationship between SME agro-based processing firm environmental standards and farmers' adoption of environmentally friendly agricultural practices are aspects that have not been given significant attention.

This study aims to examine determinants of farmers’ use of climate-smart agricultural practices, specifically improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting in Wadla district, northeast Ethiopia.

A cross-sectional household survey was used. A structured interview schedule for respondent households and checklists for key informants and focus group discussants were used. This study used both descriptive statistics and a multivariate probit econometric model to analyze the collected data. The model was used to compute factors influencing the use of climate-smart agricultural practices in the study area.

The results revealed that households adopted selected practices. The likelihood of farmers’ decisions to use improved crop varieties, intercropping, improved livestock breeds and rainwater harvesting was 85%, 52%, 69% and 59%, respectively. The joint probability of using these climate-smart agricultural practices was 23.7%. The model results confirmed that sex, level of education, livestock holding, access to credit, farm distance, market distance and training were significant factors that affected the use of climate-smart agricultural practices in the study area.

The present study used the most selected locally practiced interventions for climate-smart agriculture.

At the outset of this book, we argued that it was important that we study agricultural “policy regimes” rather than agricultural policy itself. Our reasoning was that our interest lies in the actual outcomes in terms of farming practice, industry arrangements, global trade linkages, technology assemblages, and agroecological relationships in particular countries and regions. It is a convenient fiction that these practices and arrangements are the direct result of the formal agricultural policy arrangements in each specific country. In reality, the formal policy process in each country (including not only agriculture, but also, in some cases, rural, environmental, trade, and social development policy) can be argued to be in constant interaction with wider global politics, geographically specific environmental and cultural dynamics, prevailing farm practices, and new technologies. To recognize this full assembly of dynamics that coordinate to determine actual farm practice, we use the term “policy regimes.” In neoliberalized economies such as New Zealand, there is even a strong sense in which devolved governance at the industry and sector level now operates within these regimes in the same way that formal agricultural policy does in European countries.

The purpose of this study is to assess the application of knowledge management (KM) models in managing and integrating indigenous and exogenous knowledge for improved farming activities in Tanzania, by examining the management of indigenous knowledge (IK), access and use of exogenous knowledge, the relevance of policies, legal framework, information and communication technologies (ICTs), and culture in KM practices in the communities.

Semi‐structured interviews were used to collect qualitative and quantitative data from 181 farmers in six districts of Tanzania. Four IK policy makers were also interviewed.

The study demonstrated that western‐based KM models should be applied cautiously in a developing world context. Both indigenous and exogenous knowledge was acquired and shared in different contexts. IK was shared within a local, small and spontaneous network, while exogenous knowledge was shared in a wide context, where formal sources of knowledge focused on disseminating exogenous knowledge more than IK. Policies, legal framework, ICTs and culture determined access to knowledge in the communities. The study thus developed a KM model that would be applicable in the social context of developing countries.

The study necessitates testing the developed model against existing KM models, in a specific context such as local communities of the developing world, to determine whether it is better at explaining the link between KM principles and KM processes.

The proposed KM model provides a deep understanding of the management and integration of agricultural indigenous and exogenous knowledge in the rural areas of developing countries. Previous KM models were developed in the context of an organizational environment, and thus failed to address the needs of rural communities. The proposed model thus advances the theory of KM in developing countries, and provides linkages between KM processes and KM principles.

The objective of this study was to examine the impact of the pandemic on sustainable agricultural practices (SAP) adoption such as: organic fertilizers, minimal use of tillage, crop rotation, soil burning and crop association in the frame of family farming systems in Ecuador.

The present research employed probit models' estimation with pooled data from 2018 to 2020. The study combined three sources of information with The Survey on Surface and Agricultural Continuous Production, as the main. This study also proposed the analysis of six regions: Coast, Coast Mountains, Northern Highlands, Central Highlands, Southern Highlands and the Amazon.

The authors see a lower adoption in the year 2020, where the pandemic was one of the causes. The only exception was the use of organic fertilizer. The adoption of these sustainable practices differed across the six regions. The findings also reveal that the employment generated by agricultural enterprises had a negative influence on the adoption of three sustainable practices, and that for the remaining practices the effect was positive.

The data set lacks information on the acceptance and the application of the practices promoted by agricultural technical assistance, which could provide insights into the effectiveness of the learning process. The limited observation period does not allow for investigating long-term effects on sustainable practices adoption.

This study helps to understand the implications of the COVID-19 pandemic in the adoption of SAP. Additionally, this research can help with the scalability of the practices starting from the regions that are most likely to adopt each of them.

The consequences of extreme climatic events that threaten food security have created the urgent need to properly adopt climate-smart adaptation techniques to improve productivity. The study examined the sustainability responses to climate-smart adaptation and the implication it has for explaining the food security situations among farm households in the Central Region of Ghana.

We estimated Heckit treatment effect model to analyse cross-sectional data collected from randomly selected farmers in the Central Region.

Analysis of farm sustainability index suggests that farmers' agricultural practices in response to climate change are lowly or moderately sustainable. We further found that while majority of the farm households are severely food insecure or food insecure with hunger, only about one-third are food insecure without hunger and the remaining few being food secure. The sustainability of farm practices is being impacted by the farmers’ choice of climate smart adaptation measures at the farm level. Consequently, the farm households' food security situation is found to be improved when sustainable farming practices are employed in the face of managing climate change effects.

Conclusions drawn from the study findings give rooms for policy implications that suggest responsibilities for policymakers, farmers and other stakeholders to promote CSA practices in food crop production in Ghana. These policy implications will contribute to improve crop productivity, increase incomes and thus enhance food security among farm families. Awareness campaign about benefits of CSA practices and technologies need to be strengthened among farmers in Ghana by government and NGOs that matter in promoting farm resilience to climate change. Given the important impacts of sustainable farm practices on household food security situation, policies that seek to build the adaptive capacity of farmers to climate vulnerability impacts should take into consideration the sustainability dimensions of the adaptation and mitigation measures to be advocated for use at farm levels.

Our paper contributes to literature knowledge on climate-smart adaptation practices effect on food security as evidenced in some recent literature. The paper makes a unique contribution by highlighting the food security implication of the sustainability impact of CSA practices, thereby exploring sustainability as an impact pathway between climate smart adaptations practices and food security in a developing country like Ghana. We approached our study aiming at making new contribution by introducing in the study implementation a quasi-experimental research design which future studies on impacts of climate smart adaptation practices can replicate.

Based on farm diversification's conventional and unconventional nature, the study intends to discriminate different profiles of farm diversification businesses. Furthermore, this study analyses the links between farm diversification efforts, (open) innovation networks as well as the environmental performance (EP) and financial performance (FP) of farms.

A questionnaire was administered through personal interviews with 160 fresh fruit farmers in an inland Portuguese region. Linear regression, latent class analysis (LCA) and multinomial logistic regression were used.

There are significant differences between the levels of diversification, performance and participation in (open) innovation networks of the three classes of farmers discriminated. Different types of diversification efforts and (open) innovation networks influence EP and FP, while FP and R&D projects are associated with the likelihood of being part of a farm diversification class. Moreover, this study shows that innovation networks, promoted by specialized agricultural advisors and R&D projects, are important forms of open innovation in the agricultural sector.

The study contributes to understanding the agricultural sector's diversification efforts and (open) innovation networks and their association with EP and FP. The conventional or unconventional nature of farm diversification was self-reported.

European and local institutions are advised to develop more R&D programs directed to farmers, including environmental and financial issues, besides comprising agricultural and non-agricultural diversification.

This study provides new insights to understand the association between diversification efforts, (open) innovation networks and agricultural businesses' performance.

This paper aims to explore ethnic minority women’s gendered perceptions and processes of agricultural innovation in the Northern uplands of Vietnam. The key research question asks how women develop innovations and learn new agricultural practices within patriarchal family structures.

In-depth interviews including life histories were conducted with 17 female and 10 male farmers from different socio-economic groups; participant observation and key informant interviews were also carried out.

Women’s innovation processes are deeply embedded in their positions as wives and daughters-in-law. Their innovation tends to be incremental, small-scale and less technological, and they use innovation networks of women rather than those of the formal agricultural institutions, including bringing innovation knowledge from their birth family to the patrilocal household. Unlike men’s perceived innovation, women’s innovation is strongly linked to small-scale entrepreneurship, and it is a powerful approach in the sense that it strengthens the position of women in their families while improving the household economy.

Identifying socially constructed innovation processes helps policymakers to rethink the introduction of ready-made innovation packages, both in terms of content and delivery, and to facilitate innovation for women, as well as men, in marginalized positions.

Understanding the gendered processes of innovation instead of measuring gender gaps in innovation outcomes sheds light on women’s interests and preferences, which can inform policies for supporting women’s innovation and thereby lead to social change, including gender equity.

This paper contributes to the understanding of gendered innovation processes and entrepreneurship associated with agriculture in rural areas in non-Western ethnic-minority contexts, which is an area that past and current research on entrepreneurship has relatively ignored.

The purpose of this paper is to provide details of recent developments in agricultural robots with an emphasis of those that address labour shortages and environmental issues.

Following an introduction which highlights some of the challenges facing the agricultural industry, this discusses recent robotic agricultural vehicle developments and the enabling technologies. It then provides examples of terrestrial and airborne robots employed in precision agricultural practices. Finally, brief conclusions are drawn.

Traditional, labour-intensive and environmentally harmful agricultural practices are not sustainable in the long term, and if food supply is to meet future demand, radical changes will be required. Exploiting recent advances in artificial intelligence (AI), agricultural equipment manufacturers are developing robotic vehicles in response to labour shortages. Precision agricultural practices will mitigate many of the detrimental environmental impacts and can also reduce the reliance on manpower. Weeding robots which reduce or eliminate the use of herbicides have been commercialised by a growing number of companies and again exploit AI techniques. Drones equipped with imaging device are playing an increasingly important role by characterising agricultural and crop conditions, thereby allowing highly targeted agrochemical application.

This illustrates how the agricultural industry is adopting robotic technology in response to the need to increased productivity while mitigating the problems of shortages of labour and environmental degradation.

The purpose of this paper is to translate consumer requirements regarding olive-oil quality attributes into specific olive-growing practices that most contribute to satisfy these attributes.

After identifying consumer requirements or needs regarding different attributes of olive-oil quality, through a survey of 439 olive-oil consumers, the authors determine the olive-growing practices that optimally satisfy consumer needs through expert opinions. Finally, the use of expert knowledge to construct the House of Quality or the first matrix of quality function deployment allow the authors to define the relative contribution of the various olive-farming practices to the satisfaction of consumer requirements.

The findings have shown that the olive-oil quality attributes most requested by consumers incorporate organoleptic (e.g. acidity, flavour, colour), sociocultural (e.g. creating employment in rural areas, maintenance of the rural population) and environmental ones (environmental externalities). The “separation of olives collected from ground and trees” (separation), “timing of harvesting” (according to a fruit-ripeness index), the “method of the ground harvest” (no picking from the ground), and the “method of tree harvest” (handpicking) were some of the most commonly identified olive-farming practices that contribute the most to meeting consumers’ needs with regard to olive-oil quality.

The study suggests detailed analyses of the relationships between customer requirements and other agents practices involved in the olive sector (processing industries: mills, distribution, and marketing management, etc.) to more fully investigate the impact of all these practices on consumers’ perceived olive-oil quality attributes. This is the most reliable way to guarantee that the most sought-after quality characteristics are taken into account, not only in the farming stage but also in the various different stages of the olive agri-food chain.

Findings represent an opportunity in the market value chain to develop a quality olive oil which is more oriented towards the consumer and able to face future segmentations in the market. This is one of the main innovative features of this study, as it offers “good practice” guidelines to agents of the olive-oil sector from the consumer perspective.

This study provides positive implications to consumers, providing them important tools to make an informed choice, and producers and marketers helping the design of production strategies to optimally satisfy the consumer preference with regard to olive-oil quality, and attain a competitive advantage by adding value to the product.

This paper is regarded as the pioneer in the literature translating the “consumer voice” regarding olive-oil quality into specific olive-growing practices “good-practices guidelines”. Thus, the relevant required quality olive-oil attributes should be clearly described on the label, to enable consumers to identify the quality features and make an informed choice. Furthermore, to meet consumers’ needs, the olive-oil sector should focus on the olive-growing practices that optimally satisfy consumer requirements concerning olive-oil quality attributes. This would help to improve legitimacy and boost public support for the Common Agricultural Policy subsidies for the agricultural sector in general, and the olive sector in particular. The findings are particularly valuable in helping policy makers to design marketing strategies to improve the sustainability and competitiveness of Spanish olive oil.