João Luiz Rocha Resende; Mayara Ribeiro de Araujo

DOI: 10.22167/2675-6528-202600957

Article prepared by the ResumeAI tool, an artificial intelligence solution developed by the Pecege Institute focused on synthesis and writing.

Abstract

The growing digitalization of agribusiness has driven the development of mobile applications for technical support, production management, and decision-making in rural areas. A study sought to identify and analyze the main parameters that determined the success of these solutions, considering technical, usability, market, and business model aspects. The adopted methodology was mixed (quantitative-qualitative), exploratory and descriptive in nature, employing a multiple case study. Six widely used applications in the sector were comparatively analyzed, including Plantix, AgroStar, AgriCentral, Climate FieldView, Aegro, and Solinftec App. Data collection occurred from secondary sources, such as public information made available in app stores and institutional materials from developers. The results showed that applications with greater technical stability, cross-platform compatibility, and the ability to operate in environments with limited connectivity achieved better ratings, with average scores between 4.4 and 4.6, as well as higher user engagement. It was observed that more intuitive interfaces and greater ease of use promoted greater continuous adoption. Additionally, solutions focused on the B2B market, despite presenting a lower download volume, demonstrated high perceived value and greater adherence to the specific needs of the sector. It was concluded that the success of mobile applications in agribusiness depends on the balanced integration of technical quality, usability, and strategic alignment of the business model, contributing significantly to value generation in the context of Agriculture 4.0.

Keywords: Digital agriculture; Business model; Technology in the field; Usability.

1. Introduction

The Fourth Industrial Revolution (4IR) has profoundly transformed global production systems, integrating digital, physical, and biological technologies into a new paradigm of efficiency and connectivity (Schwab, 2016). In the context of agribusiness, this movement gave rise to Agriculture 4.0, characterized by the adoption of digital tools, remote sensing, Internet of Things (IoT), artificial intelligence (AI), and real-time data analysis to optimize production processes and support decision-making (Mendes and Pinho, 2020; Fox et al., 2021). This structural change promotes greater integration between machines, systems, and people, enabling task automation, cost reduction, and increased productivity, crucial elements for the sector’s sustainability and competitiveness (Silva and Cavichioli, 2023).

In this scenario of accelerated digitalization, agricultural mobile applications emerge as strategic instruments, allowing producers, technicians, and managers to access information and services in an agile and personalized way (Mendes et al., 2022). The market for mobile solutions for agribusiness has grown expressively (Bambini et al., 2020), encompassing everything from climate monitoring and input management to traceability and commercialization (Fox et al., 2021). However, despite their potential, many of these applications face low adoption, discontinuity, or limited practical utility in users’ daily lives (Michels, 2019). This observation points to the need to understand the factors that truly drive the success and value generation of these solutions in the rural environment.

The success of a mobile application is multifaceted, understood as the combination of acceptance by the target audience, robust technical performance, and sustainability of use over time, generating real value for users (De Luna et al., 2018; Fox et al., 2021). Such success depends on multiple factors, notably technical, usability, market, and business model aspects. Technical aspects encompass software architecture, stability, information security, interoperability, and data processing efficiency (Chen et al., 2020), aligned with standards such as ISO/IEC 25010 (2011), which directly influence satisfaction and continued use. Usability, in turn, covers user experience, ease of navigation, interface clarity, and information accessibility. In agribusiness, where operational conditions can be adverse and connectivity limited, simplicity and intuitiveness are determinants for adoption and engagement (Krümpel, 2019; Michels, 2019). Additionally, market factors and the business model are crucial. Indicators such as downloads, user ratings, and update frequency (Mendes and Pinho, 2020; Bambini et al., 2020) provide insights into reach and credibility, but must be interpreted contextually. B2B solutions, for example, may have a lower download volume but demonstrate high perceived value and greater adherence to the specific needs of the sector. The business model, which defines the logic of value creation and capture (Timmers, 1998; Osterwalder and Pigneur, 2010), including monetization strategies and target audience, must be aligned with demands to ensure the solution’s sustainability (Desconsi and Sá, 2024). Existing literature, however, tends to address these elements in isolation, limiting the systemic understanding of the factors influencing the adoption and continued use of applications in agribusiness.

Given the gap in integrated studies and the relevance of understanding the interdependence of these factors, the present work aims to identify and analyze the main parameters that determine the success of mobile applications in agribusiness, considering technical, usability, market, and business model aspects. It seeks to contribute to the advancement of knowledge on technological innovation applied to agribusiness and offer practical subsidies for the development of more effective digital solutions aligned with the sector’s demands, generating sustainable value in the context of Agriculture 4.0.

2. Material and Methods

This research was characterized as applied in nature, adopting a mixed approach that combined qualitative and quantitative elements. The method employed was the multiple case study, of an exploratory and descriptive nature, selected for its ability to investigate contemporary phenomena in their real context, especially when the boundaries between the phenomenon and the environment are not clearly defined (Yin, 2015). This approach also enabled a comparative analysis between different units, favoring the identification of patterns and explanatory relationships between the analyzed factors (Eisenhardt, 1989; Fox, Sheehan, and Hall, 2021).

The study focused on the context of agribusiness, with six widely used mobile applications in the sector as the unit of analysis. The research was conducted in the period from March 2026, ensuring a precise temporal delimitation for data collection and analysis. This temporal scope was fundamental to capturing the dynamism and evolution of digital solutions in the field, ensuring that the information reflected the most up-to-date scenario of the agricultural application market at the time of the investigation.

The sample consisted of six mobile applications focused on agribusiness, intentionally selected to ensure diversity and analytical representativeness. The choice of this number of cases allowed for in-depth individual investigation and, simultaneously, the identification of patterns through comparison between digital solutions, according to the literature on multiple case studies (Eisenhardt, 1989; Yin, 2015). Selection criteria included relevance in the agricultural market, availability of public information, diversity of functionalities, representativeness of business models, presence on multiple platforms, and recent updates. The analyzed applications were Plantix, AgroStar, AgriCentral, Climate FieldView, Aegro, and Solinftec App.

Data collection was carried out exclusively from publicly accessible secondary sources. Information available on virtual application stores, such as Google Play Store and Apple App Store, which provided data on downloads and user ratings, was included. Additionally, institutional websites of application developers, scientific and technical publications relevant to digital agribusiness, and content disseminated in specialized industry media were consulted. This approach ensured a comprehensive and contextualized database for the analysis of success parameters.

The analysis was structured into four main dimensions, considered determinants for the success of mobile applications in agribusiness. Technical aspects involved the evaluation of software architecture, stability, information security, interoperability, and performance, based on criteria from the ISO/IEC 25010 (2011) standard and from Chen et al. (2020). Usability considered user experience, ease of navigation, interface clarity, and accessibility, according to De Luna et al. (2018) and Michels (2019). Market data covered indicators such as downloads, ratings, and update frequency (Mendes and Pinho, 2020; Bambini et al., 2020). Finally, the business model analyzed value generation and capture strategies, including monetization and target audience (Desconsi and Sá, 2024).

The quantitative data collected, such as number of downloads and ratings, were organized and analyzed using descriptive statistics. This approach allowed for a systematic comparison between the studied applications, identifying trends and performance patterns in relation to market parameters. The qualitative data, referring to functionalities, technical aspects, usability, and business models, were subjected to content analysis. This technique was complemented by cross-case analysis, as per the methodology proposed by Yin (2015), to identify convergences and divergences between the applications and their success factors.

The validation of the obtained results was carried out through data triangulation. The convergence of information from the various secondary sources used, such as app stores, developer websites, and specialized publications, was sought. The main objective of this procedure was to increase the reliability and internal validity of the study, ensuring that the conclusions were robust and well-founded on the evidence collected from multiple points of view, strengthening the credibility of the integrated analysis.

Regarding the ethical aspects, the research exclusively used secondary data from public access, not directly involving human participation in data collection. Consequently, it was not necessary to submit the project to the Research Ethics Committee (CEP), according to the guidelines applicable to studies based on publicly available information. All data were treated with due confidentiality and respect for the original sources, ensuring the integrity and ethics in the conduct of the study.

As methodological limitations, the study was based exclusively on secondary data, which may restrict the depth of certain analyses that would require direct interaction with users or developers. Additionally, the sample selection of six specific applications, although justified by the multiple case study approach, limits the generalization of findings to the entirety of the agricultural application market. It is suggested that future research advances in primary data collection and empirical validation of identified parameters in different productive contexts, in order to broaden the robustness and scope of the conclusions.

3. Results and Discussion

This section details the results obtained from the analysis of the six mobile applications selected for the multiple case study, breaking them down into four main dimensions: technical aspects, usability, market data, and business model. The discussion deepens each finding, cross-referencing it with the relevant theoretical literature, debating convergences and divergences with other authors, and proposing practical implications for the development and adoption of digital solutions in agribusiness.

The sample of mobile applications, composed of Plantix, AgroStar, AgriCentral, Climate FieldView, Aegro, and Solinftec App, was intentionally selected to represent the diversity of functionalities and business models present in the agribusiness sector. This choice, aligned with the multiple case study methodology proposed by Yin (2015) and Eisenhardt (1989), allowed for a robust comparative analysis, essential for identifying patterns and explanatory relationships between success factors. Each application has a distinct main purpose, ranging from image-based diagnosis of pests and diseases (Plantix) and agricultural marketplace (AgroStar) to agricultural management and production monitoring (AgriCentral, Aegro), agricultural data analysis (Climate FieldView), and digital agriculture operational monitoring (Solinftec App). This variety of purposes reflects the breadth of rural producers’ needs and the complexity of the digital solutions ecosystem, which, according to Fox, Sheehan, and Hall (2021), is crucial for innovation in the sector.

Target audiences also vary, including rural producers, agricultural technicians, managers, and agricultural companies, which highlights the need for solutions tailored to different user profiles and scales of operation. Most applications are available for both Android and iOS, ensuring broad accessibility, a technical factor of cross-platform compatibility that, according to Chen et al. (2020), is fundamental for software quality and user satisfaction. Observed business models include freemium, subscription, and B2B licensing, reflecting different monetization and value capture strategies. This diversity in the sample is a pillar for the study’s analytical external validity, allowing conclusions about success parameters to be contextualized and applicable to a broader spectrum of agribusiness solutions.

The analysis of business models revealed a predominance of the freemium model among the studied applications, namely Plantix, AgroStar, and AgriCentral. This model, as described by Timmers (1998) and Osterwalder and Pigneur (2010), offers basic functionalities for free, while advanced features are accessible through payment or subscription. The main characteristic of freemium is the low barrier to entry, which encourages initial experimentation by users, a crucial aspect for the adoption of new technologies in a traditional sector like agribusiness. Kumar (2014) and Hamari et al. (2017) corroborate that the freemium model is an effective strategy to expand the user base and subsequently convert a portion into paying customers, which aligns perfectly with the need to educate and engage rural producers in digitalization. The ease of initial access can mitigate resistance to change and the perception of risk associated with implementing new digital tools in the field, as pointed out by Krümpel (2019).

The subscription model, adopted by Climate FieldView and Aegro, and also present as a premium option in AgriCentral, is characterized by recurring revenue and a focus on frequent users, offering greater financial predictability for developers. This model is often associated with higher value-added services, such as complex data analysis and integration with other platforms, which demand a continuous commitment from the user. Adherence to this model suggests that developers aim to build long-term relationships with their clients, offering constant support and updates, which is vital for the sustainability of the solution in the market, as discussed by Desconsi and Sá (2024).

A notable finding was AgriCentral’s adoption of a hybrid model, which combines freemium features with a subscription option for advanced functionalities. This flexibility allows the application to cater to a wider range of users, from those seeking basic free features to those who require more sophisticated tools and are willing to pay for them. This hybrid strategy can be particularly effective in agribusiness, where the diversity of producer profiles, from small farmers to large corporations, demands scalable and adaptable solutions.

Finally, the Solinftec App adopts a B2B licensing model, aimed at agricultural companies and technical teams. This model involves customized contracts and focuses on high value-added solutions, with strong integration into corporate systems. The choice of B2B for the Solinftec App reflects a strategic positioning to meet the demands of larger-scale agricultural operations, where complexity and the need for customization justify a more robust and higher-cost business model. The alignment between the business model, the value proposition, and the user profile is, therefore, a critical factor for the sustainability and market longevity of the solutions, directly influencing the application’s ability to generate real value and remain relevant, according to De Luna et al. (2018).

The usability analysis of the applications revealed that ease of navigation, interface clarity, and customization options are determinants for the perceived value and continuous use of the solutions. Applications such as Plantix and Aegro stood out for their high usability, featuring intuitive navigation, clear menus, and accessible language, which resulted in predominantly positive user reviews. This observation is in line with the studies by De Luna et al. (2018) and Michels (2019), who emphasize the importance of user experience for the continuous usage intention of agricultural applications. Simplicity and intuitiveness are particularly relevant in the agribusiness context, where many users may have varying levels of familiarity with digital technologies and operate in environments with limited connectivity and the need for quick decision-making in the field.

The clarity in the presentation of information, such as efficient visual organization and language accessibility, also proved to be a crucial factor for user satisfaction. Solutions that manage to communicate complex data in an understandable way facilitate interpretation and decision-making, which is a competitive advantage. The customization capability, allowing the user to select cultures, productive areas, and performance indicators, increased the perception of usefulness, especially in agricultural management applications. This adaptability to the individual needs of the rural producer contributes to the tool becoming an extension of their daily practices, rather than an obstacle.

On the other hand, applications with greater functional complexity, such as Climate FieldView and Solinftec App, although presenting positive evaluations, demonstrated a higher incidence of comments related to the learning curve. This suggests that, although they offer advanced functionalities with high added value, the inherent complexity of these tools may require a greater initial effort from the user to master their use. This finding highlights the importance of strategies that minimize the complexity of use, such as interactive tutorials, user support, and well-designed interfaces, to ensure that the presence of advanced functionalities does not compromise the overall user experience. Usability, therefore, is not a complementary attribute, but a central element for the effectiveness of digital solutions in agribusiness, directly influencing adoption, frequency of use, and value generation for the user. The findings confirm that usability is a critical factor, and should be integrated with technical and strategic aspects in the development of solutions.

The analysis of market data, based on quantitative indicators such as number of downloads, user ratings, and update frequency, provided insights into the reach and popularity of the applications. It was observed that applications with a higher download volume, such as Plantix (>10 million) and AgroStar (>5 million), tend to have a high number of ratings, which contributes to the visibility and credibility of the solution. This result is in line with the studies by Mendes and Pinho (2020) and Bambini et al. (2020), who highlight the correlation between an application’s popularity and user engagement, reflected in the ratings. Update frequency was also associated with better ratings, suggesting that continuous application maintenance, with bug fixes and the addition of new features, positively influences user satisfaction and retention.

It is crucial to interpret these indicators in light of the business model and target audience of each application. Solutions focused on B2B, such as Climate FieldView and Solinftec App, presented a lower download volume compared to broader-use solutions, but maintained positive ratings. This behavior is expected, as the target audience for B2B solutions is more restricted, consisting of agricultural companies, larger-scale properties, and specialized technical teams. Unlike applications aimed at the general public, whose objective is to maximize the number of users, B2B solutions prioritize value generation through more complex functionalities, integration with production systems, and support for larger-scale operations. Therefore, the performance of these solutions should not be evaluated solely by download volume, but rather by their ability to meet specific demands and generate value for a qualified audience. This finding reinforces the importance of a contextualized interpretation of market indicators, aligned with the strategic positioning of each application.

The integrated analysis of the results shows that the success of mobile applications in agribusiness is not associated with a single isolated factor, but rather with a balanced combination between technical performance, user experience quality, market positioning, and business model suitability. Applications that manage to align these factors tend to achieve greater acceptance and continuous use. Factors such as update frequency and adherence to the target audience play a relevant role in the sustainability of solutions over time.

Table 1. Synthesis of factors associated with the success of mobile applications in agribusiness

Dimension	Critical success factor	Observed evidence in the analyzed applications	Impact on performance
Technical aspects	System stability and performance	Top-rated applications showed a lower incidence of failures and greater fluidity of use	Increases reliability and reduces abandonment
Technical aspects	Cross-platform compatibility	Simultaneous presence on Android and iOS associated with greater user reach	Increases adoption and scalability
Technical aspects	Low connectivity operation	Applications adapted to the rural environment demonstrated better acceptance	Enables field use
Usability	Intuitive interface	Applications with simple menus and accessible language received better reviews	Facilitates initial adoption
Usability	Clarity in the presentation of information	Efficient visual organization associated with greater user satisfaction	Improves the user experience
Usability	Customization of functionalities	Adjustment of crops, areas, and indicators increased the perception of usefulness	Stimulates continuous use
Market data	Download volume	Applications with the highest number of downloads showed greater visibility and engagement	Increases credibility
Market data	Update frequency	Apps with frequent updates showed better ratings	Indicates active maintenance
Market data	User reviews	High ratings associated with perceived app quality	Influence of new users
Business model	Freemium strategy	Reduction of the entry barrier and stimulus to experimentation	Increase user base
Business model	Subscription model	Applications with greater complexity have successfully adopted this model	Ensures recurring revenue
Business model	Adherence to the target audience.	Solutions aligned with the user profile showed higher retention	Sustainability in the market

Source: Original research results

Table 1 summarizes the critical success factors observed, their evidence in the analyzed applications, and their impact on performance. In technical aspects, system stability and performance, evidenced by a lower incidence of failures and greater fluidity, increase reliability and reduce abandonment. Cross-platform compatibility (Android and iOS) enhances adoption and scalability, while operation in low connectivity enables field use. In usability, an intuitive interface (simple menus, accessible language) facilitates initial adoption, clarity in information presentation improves user experience, and customization of functionalities (adaptation to cultures, areas) stimulates continuous use. In market data, download volume increases credibility, update frequency indicates active maintenance, and positive reviews influence new users. Regarding the business model, the freemium strategy reduces the barrier to entry, increasing the user base, the subscription model ensures recurring revenue, and adherence to the target audience ensures market sustainability. These results corroborate Schwab’s (2016) vision of Agriculture 4.0, where the integration of digital technologies must be efficient and connected, but also adapted to the realities of the field.

Table 2. Comparative assessment and ranking of the analyzed applications

Application	Technical aspects	Usability	Market data	Business model	Final grade
Plantix	5	5	4	5	4,75
AgroStar	5	5	5	4	4,75
AgriCentral	4	5	5	4	4,50
Climate FieldView	4	4	4	4	4,0
Aegro	5	3	3	5	4,0
Solinftec App	5	3	2	5	3,75

Source: Original research results

Table 2 presents a comparative evaluation and a ranking of the analyzed applications, based on a score from 1 to 5 in each dimension (technical aspects, usability, market data, and business model), resulting in a final score. Plantix and AgroStar showed the best overall performance, both with a final score of 4.75. Plantix stood out with maximum scores in technical aspects and usability, and a high score in business model, reflecting its AI-powered diagnostic capability and the freemium model that facilitates adoption. AgroStar, in turn, obtained maximum scores in usability and market data, and high scores in technical aspects, evidencing its strong presence as a marketplace and technical support. These results suggest that the balance between technical robustness, ease of use, and an effective market strategy is fundamental for success, according to the literature addressing software quality (ISO/IEC 25010, 2011; Chen et al., 2020) and user experience (De Luna et al., 2018).

AgriCentral achieved a final score of 4.50, demonstrating a good balance between dimensions, with emphasis on usability and market data. Its hybrid business model approach, combining freemium and subscription, appears to contribute to its acceptance and sustainability. Climate FieldView and Aegro achieved intermediate performance, both with a score of 4.0. Climate FieldView, although technically robust, presented a lower score in usability, which may be related to its greater complexity of use for advanced data analysis, as previously discussed. Aegro, with a high score in technical aspects and business model, had a moderate performance in usability and market data, indicating that, despite its well-structured agricultural and financial management, there may be room for optimizing the user experience and market strategies to broaden its reach.

Finally, the Solinftec App obtained the lowest relative score (3.75), despite its high technical robustness and strong adherence to the B2B business model. The lower score in usability and market data reflects its smaller user base and greater complexity of use, characteristics inherent to B2B solutions that serve a specific niche of large agricultural operations. This result reinforces the idea that the success of an application is not merely a matter of download volume, but rather the ability to generate practical and continuous value for its target audience, even if restricted, as pointed out by Desconsi and Sá (2024). The ability to balance technical performance, user experience, market strategy, and business model is, therefore, at the core of the success of mobile applications in agribusiness. Applications that manage to align these factors tend to show greater adoption, user satisfaction, and long-term sustainability, establishing themselves as benchmarks for the development of digital solutions in the sector.

The results demonstrate that factors such as technical performance, stability, compatibility, and ease of use are decisive for the adoption and retention of applications in users’ daily lives. In the context of agribusiness, marked by challenges such as limited connectivity, diverse user profiles, and high operational complexity, solutions that manage to combine technological robustness with simplicity of use tend to be more widely accepted. In this sense, applications that offer intuitive interfaces, clear information, and customization options contribute significantly to the digitalization of agricultural activities, promoting greater autonomy for the producer and facilitating operational management. The literature by Silva and Cavichioli (2023) and Mendes et al. (2022) reinforces that the democratization of technology in the countryside depends on solutions that are not only advanced but also accessible and understandable to the end-user. An application’s ability to operate efficiently in environments with low connectivity, for example, is a direct practical implication of the technical dimension that affects usability and adoption in rural areas, where internet infrastructure is still a challenge (Fox et al., 2021).

From a market perspective, it was observed that the success of applications should be interpreted in a contextualized manner, considering their target audience and value proposition. B2B model applications, for example, even with a smaller number of users, exert a relevant impact by offering high value-added solutions for large agricultural operations. This suggests that perceived value and adherence to the specific needs of the sector are more significant metrics than the gross volume of downloads for this segment. The choice of business model proved to be a strategic factor, making it essential for there to be coherence between the monetization method and user needs. A freemium model, for instance, can be ideal for mass user acquisition and market education, while a B2B subscription or licensing model is more suitable for niche solutions with high value-added and continuous support. This coherence is vital for the economic viability and long-term sustainability of digital solutions, according to Desconsi and Sá (2024).

In terms of practical implications, agricultural application developers should prioritize user-centered design, investing in intuitive and clear interfaces, and in functionalities that allow customization. Technical robustness, including stability, security, and cross-platform compatibility, should be a non-negotiable foundation, especially considering the operational conditions in the field. Furthermore, the ability to operate in environments with limited connectivity is a competitive differentiator. For agribusiness managers and companies, the choice of applications should go beyond the number of downloads, considering the solution’s adherence to their specific needs, the business model, and the support offered. The frequency of updates and the quality of reviews are important indicators of active maintenance and user satisfaction.

Finally, it is concluded that the advancement of Agriculture 4.0 is directly related to the capacity for developing digital technologies that are, at the same time, technically efficient, accessible, and aligned with the demands of the field. This study contributes by proposing an integrated approach for analyzing the success factors of mobile applications in agribusiness, offering subsidies for both academia and the productive sector. In practice, the results assist developers, companies, and managers in creating more effective solutions, capable of generating real impact on the productivity, competitiveness, and sustainability of agribusiness. The study’s limitations, based exclusively on secondary data and the sample’s scope, suggest that future research should advance in primary data collection and empirical validation of the identified parameters in different productive contexts, in order to broaden the robustness and reach of the conclusions.

4. Conclusion

It is concluded that the objective was achieved by identifying and analyzing the main parameters that determine the success of mobile applications in agribusiness, considering technical, usability, market, and business model aspects. The results showed that the success of these digital solutions is not restricted to a single factor, but rather to a balanced and integrated combination of all these elements. Applications that demonstrate technical robustness, such as stability and cross-platform compatibility, combined with intuitive usability, with clear and customizable interfaces, tend to achieve greater acceptance and continuous use. Additionally, the adequacy of the business model to the target audience and a contextualized market strategy, which interprets indicators strategically, are crucial for sustainability and the generation of real value in the context of Agriculture 4.0. This integrated approach is fundamental for the development of effective solutions that drive the productivity and competitiveness of the sector.

This study contributes significantly to the advancement of knowledge on technological innovation in agribusiness, offering practical subsidies for developers and managers. However, it is recognized that the limitations of the present work, based exclusively on secondary data and the specific scope of the analyzed sample of applications, may influence the generalization of the findings. It is therefore suggested that future research advances in the collection of primary data, such as interviews and surveys with users and developers, and in the empirical validation of the identified parameters in different productive contexts and geographical regions. Such deepening will allow for increased robustness and scope of the conclusions, enriching the understanding of the adoption and success of digital technologies in the field.

Bibliographic References

Bambini, M. D.; Luchiari-Júnior, A.; Romani, L. A. S. 2020. Mercado de aplicativos móveis (Apps) para uso na agricultura. Campinas: Embrapa Informática Agropecuária, 2020. Disponível em: <https://www.embrapa.br/busca-de-publicacoes/publicacao/1128267/mercado-de-aplicativos-moveis-apps-para-uso-na-agricultura>. Acesso em: 14 out. 2025.

Chen, L.; Zhang, W.; Huang, R. 2020. A Comprehensive Evaluation Model for Mobile Application Quality. IEEE Access, 8:. 155879–155889.

De Luna, I. R.; Lina, J. M.; Díaz, R.; López, B. 2018. Is app quality important for continued intention to use? An empirical study of mobile apps for agriculture. Computers in Human Behavior, 78: p. 115–129.

Desconsi, C.; Sá, M. J. P. 2024. O uso e a apropriação de tecnologias digitais na gestão agropecuária. Revista de Administração e Inovação no Agronegócio, 5(1): 33–48.

Eisenhardt, K. M. 1989. Building Theories from Case Study Research. Academy of Management Review, 14(4): 532–550.

Fox, G.; Sheehan, M.; Hall, D. 2021. AgriTech Innovators: Initial Adoption and Continued Use of a Mobile Digital Platform. Agriculture, 11(3): 221.

Hamari, J.; Hanner, N.; Koivisto, J. 2017. Service quality explains why people use freemium services. International Journal of Information Management, 37(1): 1449-1459.

International Organization for Standardization [ISO]. 2011. ISO/IEC 25010: Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) System and software quality models. Geneva: ISO.

Krümpel, J. 2019. Factors Influencing the Use of Mobile Applications by Farmers. Agricultural Economics Review, 20, (1): 57–70.

Kumar, V.2014. Making “freemium” work. Harvard Business Review, 92(5): 27-29.

Mendes, J.; Pinho, J. 2020. Smartphone Applications Targeting Precision Agriculture Practices A Systematic Review. Agronomy, 10(6): 855.

Mendes, J.D. J.; Carrer, M.; Vinholis, M. D.; Juliana, D. J. M.; Marcelo, J. C.; Marcela, D. M. B. V. 2022. . Adoção de smartphones e aplicativos por produtores rurais paulistas. São Paulo: Instituto de Economia Aplicada, 2022. Disponível em: <https://repositorio.ipea.gov.br/handle/11058/12145>. Acesso em: 14 out. 2025.

Michels, M. 2019. Understanding the Adoption of Crop Protection Smartphone Apps: An Empirical Study among Farmers. Journal of Agricultural Informatics, 10(2): 1–11.

Osterwalder, A.; Pigneur, Y. 2010. Business model generation: a handbook for visionaries, game changers, and challengers. Hoboken: John Wiley & Sons.

Schwab, K. 2018. A Quarta Revolução Industrial. Edipro, São Paulo, SP, Brasil..

Silva, P. A. S.; Cavichioli, F. A. 2023. Uso das tecnologias agrícolas no Brasil. Revista Interface Tecnológica, 20(2): 45–59. Disponível em: <https://revistainterfacetecnologica.com.br/index.php/revista/article/view/1547>. Acesso em: 14 out. 2025.

Timmers, P. 1998. Business models for electronic markets. Electronic Markets, 8(2): 3–8.

Yin, R. K. 2015. Estudo de Caso: Planejamento e Métodos. 5ed. Bookman, Porto Alegre, RS, Brasil. Disponível em: <https://itcp.ufpr.br/wp-content/uploads/2015/02/Estudo-de-Caso-Planejamento-e-Metodos-Robert-k-Yin-libre.pdf>. Acesso em: 14 out. 2025.

Article originating from the Course Conclusion Work of the Specialization in Agribusiness of the MBA USP/Esalq

To learn more about the course, click here and access the MBX Academy platform