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In a context where the process of creation of technology and innovation for agriculture is being disrupted at a fast pace, the authors proposed to study one of the most prominent agtech innovation ecosystems. Therefore, this paper aims to identify key characteristics that make California’s agtech innovation ecosystem remarkable.

The paper is an exploratory and descriptive research carried out in a twofold. First, data were collected through documental research focusing on actors such as universities, R&D centers and programs, business accelerators and venture capital platforms, agtechs, as well as multinational companies. Second, structured interviews were carried out to complement the secondary data collected and to obtain experts’ perception on the relationships between actors of the ecosystem and on the characteristics that make this ecosystem remarkable.

The paper provides empirical insights about the relevance of California's agtech innovation ecosystem to creation of radical innovations in agriculture. It has a differentiated environment, where educational and research institutions play a key role in developing new knowledge. It also shows how important funding is to allow new business to succeed. Additionally, it shows that actors interact in a complex network, with multiple roles. All these key characteristics allow this agtech innovation ecosystem to be so remarkable.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to survey a larger number of actors of this and other agtech innovation ecosystems to test the identified key characteristics further.

The paper includes indication of characteristics necessary to develop a prominent agtech innovation ecosystem, which may contribute to decision makers to develop policies aiming to promote this type of ecosystem.

This paper fulfils an identified need to open the “black-box” of agtech innovation ecosystems, which may then allow radical innovations within the sector to be developed and taken to the market.

The objective of the paper is to learn about the enabling factors that fostered the development of the Agtech sector in Argentina. The authors analyze how the local ecosystem (S&T institutions, incubators and accelerators, domestic clients, venture capitals and other actors) contributed to the emergence, consolidation and early internationalization of Agtech ventures.

Throughout 2020 the authors held 16 semi-structured interviews with experts, CEOs and managers of Agtech firms, incubator and accelerator managers, as well as with other stakeholders of the Agtech sector. All the interviews were recorded and then transcribed. The authors also undertook two case studies, one on a consortium of agricultural producers that created an Agtech incubator, and another on a successful Agtech venture. The selection of the case studies was based on the information collected during the interviews with local stakeholders (“snowballing technique”).

Linkages with the actors of the local ecosystem allowed Agtech ventures to validate their services and value proposition, identify business opportunities, improve and develop technologies, obtain funding, and reach out to new national and international customers.

While a case study methodology does not allow for direct generalization to other experiences, the authors’ findings shed light on relevant factors behind the development of the Agtech sector in Argentina which cannot be easily captured through quantitative methods.

This paper contributes to achieve a better understanding of the factors that allow the emergence and consolidation of young ventures based on disruptive technologies in Latin America. Hence, it contributes to the advancement of knowledge in an emerging field: the generation and dissemination of 4.0 technologies in developing regions.

This paper aims to identify and analyze the agtech classification and categorization systems in the Brazilian context.

The systematic literature review (SLR) was carried out according to the protocol of Kitchenham and Charters (2007). The classification systems found in literature were evaluated using the thinking aloud protocol, as proposed by Ericsson and Simon (1993). The responses obtained were evaluated through lexicographic analysis, described by Bécue-Bertaut (2019) and content analysis, described by Bardin (2011).

SLR identified four agtech classification systems. The model proposed by Dias, Jardim, and Sakuda (2019) was the one with the highest adherence to classify Brazilian agtechs. From the analysis of the systems found in literature, the authors proposed a new categorization model of agricultural startups (agtechs).

The study has limitations in relation to the theoretical and empirical validation of the model proposed by the authors. This limitation can be the subject of subsequent research.

The SLR study considers the evolution of the classification systems of a new agribusiness reality, the agtechs. In addition, there is a practical contribution in proposing a new classification system that attempts to address some of the limitations found in previous studies.

Agtechs are startups focused on developing solutions for agriculture and have shown a significant increase in recent years. However, there are few studies focused on this type of company. Even rarer are the studies that seek to classify and categorize them. The present work opens the horizon for future studies focused on this new reality.

This study aims to propose and assess a model with the main elements influencing Brazilian agtech scalability with the aim of supporting the scalability process of startups that find themselves in the stage of initial conception of the business model.

The research was conducted using the design science research (DSR) method. The data for assessing the proposed model were collected through in-depth interviews. The answers were analyzed quantitatively, using descending hierarchical classification (DHC), correspondence factor analysis (CFA), and level of agreement; and qualitatively, using content analysis.

Considering the Brazilian context, the objective, environmental, structural, and evaluative dimensions presented positive characteristics for the main criteria analyzed (operational viability, generality, clarity, adaptation to the reality studied, completeness, consistency, comprehensibility, and structural simplicity). Specific improvements were proposed in all the criteria analyzed.

The artifact can be considered a strategic guide for agtechs that have yet to overcome the barrier of initial conception of the business model. The model enables the identification of the main problems that agtechs can encounter in their life cycle, as well as seeking solutions in advance.

This paper analyzes the mediating role of green process innovation in the relationships of green entrepreneurial orientation and proactive sustainability strategy with environmental performance.

The authors analyze data from 81 Brazilian agriculture technology startups (AgTechs) using partial least squares–structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

The results show that the green process innovation assumes an important role in AgTechs, promoting full mediations between green entrepreneurial orientation and proactive sustainability strategy with environmental performance. There are two ways for AgTechs to achieve high environmental performance. In both, green process innovation is a central condition, while green entrepreneurial orientation or proactive sustainability strategy is a complementary condition.

This study demonstrates how internal elements (green entrepreneurial orientation, proactive sustainability strategy and green process innovation) improve environmental performance. This answers calls to explore which elements translate green entrepreneurial orientation and proactive sustainability strategies into environmental performance, by highlighting the mediating role of green process innovation.

The findings are useful for founders and managers of AgTechs to find ways to manage sustainable technological advancement and cleaner production in agribusiness.

This study analyses the interface between sustainable entrepreneurship, strategy and innovation in promoting environmental performance of AgTechs from an emerging economy country.

The study aimsto analyze the main elements associated with the evolution of Brazilian agtechs from the initial conception of the business model to becoming companies in the scale-up stage.

The exploratory research was conducted based on data collected through in-depth interviews. The answers were analyzed quantitatively using descending hierarchical classification (DHC) and correspondence factor analysis (CFA) and qualitatively using content analysis.

Five main elements were identified as responsible for the evolution of the companies up to their entering the scale-up phase: (1) governance, (2) decisions inherent to resource allocation, (3) monitoring of strategic, tactical and operational activities, (4) fostering human capital development and (5) business model validation. Each element presents a set of performance indicators that show the scalability of these companies.

The model developed can help companies that have not yet advanced from the conception of the business model to the scalability of different sectors, in addition to agribusiness.

Proposal of a model that presents the main elements that impact on scalability and respective indicators that contributed to the scalability process of Brazilian agtechs.

This study contributed to advancing the knowledge on the organizational life cycle (OLC) of agricultural startups, particularly regarding the factors responsible for their scalability.

Agriculture is under pressure to produce more food under increasingly variable climate conditions. Consequently, producers need management innovations that lead to improved physical and financial productivity. Currently, farm accounting technologies lack the sophistication to allow producers to analyse productivity of water. Furthermore water-related agricultural technology (“agtech”) systems do not readily link to accounting innovations. This study aims to establish a conceptual and practical framework for linking temporal, biophysical and management decision-making to accounting by develop a soil moisture and climate monitoring tool.

The paper adopts an exploratory mixed-methods approach to understand supply of and demand for water accounting and water-related agtech; and bundling these innovations with farm accounting to generate a stable tool with the ability to improve agricultural practices over time. Three phases of data collection are the focus here: first, a desk-based review of water accounting and water technology – including benchmarking of key design characteristics of these methods and key actor interviews to verify and identify trends, allowing for conceptual model development; second, a producer survey to test demand for the “bundled” conceptual model; third and finally, a participant-based case study in potato-farming that links the data from direct monitoring and remote sensing to farm accounts.

Design characteristics of water accounting and agtech innovations are bundled into an overall irrigation decision-making conceptual model based on in-depth review of available innovations and verification by key actors. Producer surveys suggest enough demand to pursue practical bundling of these innovations undertaken by developing an integrated accounting, soil moisture and climate monitoring tool on-farm. Productivity trends over two seasons of case study data demonstrate the pivotal role of accounting in leading to better technical irrigation decisions and improving water productivity.

The model can assist practitioners to gauge strengths and weaknesses of contemporary water accounting fads and fashions and potential for innovation bundling for improved water productivity. The practical tool demonstrates how on-farm irrigation decision-making can be supported by linking farm accounting systems and smart technology

This paper aims to explore the development of digital platforms in agtech space as a mechanism to mitigate the disconnects among the various actors in the innovation, business and entrepreneurship and extension ecosystems that impede the journey of technology from labs to farms. It does so by tracing the birth and evolution of KisanMitr, an agriculture digital platform created in India.

The research follows a participatory action research approach.

Digital platforms can be useful for integrating varied actor groups, in particular by facilitating the open flow of information among actors, and thus bringing to light the ways in which they can collaborate.

The paper demonstrates that digital platforms can become the backbone of integrated agricultural innovation systems, just as in the high-tech industries. Greater information flow enabled by such platforms allows the actors to collaborate more effectively. However, it is necessary to maintain farmer-focus, undertake off-platform activities to facilitate mutual engagement among actors and watch for potential governance issues if these platforms were to make a true impact for farmers.

KisanMitr was initiated with the motive of helping the Indian farmers, especially the reverse migrants during the COViD-19 pandemic, specifically for increasing the range of technology options available to them to make agriculture a viable livelihood option.

KisanMitr platform is one the first of its kind in India and in the agricultural sector. Unlike the digital platforms developed by private corporations, it was created by a government agency.

Although Agtech firms have promoted digital platforms for retailing farm supplies (RFS), farmers are sceptical while purchasing them online. As a result, they struggle to generate a sustained demand. Among other approaches, these platforms onboard complementors to become full-stack farming solution providers. Whether platform complementarity can induce farmers' trust remains ambiguous. Literature on network externality theory highlights that complementarity positively affects the perceived value for buyers. The sociotechnical systems literature indicates that perceived value is an antecedent of user trust. In this vein, the authors ask: Does perceived complementarity affect farmers' trust in the RFS platform? Alternatively, the Agtech firms augment the platform's look and feel to make the digital retail setting appear “normal” to farmers. The extant research on the social cognitive theory indicates that a retail setting conforming with the generalised expectancy of buyers harbours their trust. Against this backdrop, the authors ask whether situational normality affects farmers' trust in the RFS platform.

The study is based on a questionnaire survey of 212 Indian farmers using RFS platforms. The data were analysed using structural equation modelling (SEM) analysis.

This study establishes that platforms' complementarity and situational normality ameliorate farmer trust. The authors also identify the socioeconomic factors shaping the farmers' trust in platforms.

The present study has taken all RFS together as a single umbrella category, which can be considered a limitation. Also, the study is based on the cross-sectional survey of RFS platform users; the farmers' attitudes are dynamic in nature and evolve over time; however, the temporal factors shaping the farmer attitudes have not been considered in this study.

The study establishes the epistemological relationship between complementarity, situational normality and farmers' trust in agricultural platforms.

This paper aims to investigate how a firm may innovate its business model to internationalize.

Owing to its novelty and to the depth of the investigation required to grasp the mechanisms and logics of business model innovation aiming at internationalization, a single case study has been performed related to a company located in North-Western Colombia.

The study provides detailed empirical evidences over the mutual connection and complementarities among value mechanisms of business models. Moreover, this study suggests that BMI fosters internationalization to scale, which, in turn, will require additional changes to match new customer needs as they emerge. Also, the study shows an extension of the action–space of lean startup approaches, intended as scientific approaches to international entrepreneurship.

This study connects business model innovation and internationalization as few studies have done before.