Analysis of Technology Dissemination in Crop Production: Mapping Research Trends using Scopus

The relentless momentum of global population expansion, expected to reach nearly 10 billion by 2050, meets the rising provocations of climate change, confronting global food security with its greatest challenge yet (Hulme, 2023). Crop production, as the base and source of human sustenance, is also the area most directly impacted (Wang, 2022). Raising yields, improving tolerance against biotic and abiotic stress conditions, and achieving optimal resource use efficiency are no longer options but a must (González Guzmán et al., 2022). In this critical environment, agri-tech —encompassing technologies such as precision farming, sensor networks, advanced biotechnology, robotics, artificial intelligence, and data analytics —serves as a driving force with the power to transform (Ashique et al., 2024). They represent significant productivity gains to feeding an expanding population while reducing the environmental footprint of agriculture (Holka et al., 2022). However, it is not enough for sophisticated agricultural technologies to exist. The challenge of transferring technology from research benches or pilot farms to mass and practical application by farmers across a wide range of crop production systems worldwide is a significant and intricate bottleneck. This technology transformation process, commonly referred to as technology transfer, includes the complex interrelations of communication media, extension services, socio-economic determinants, policy, infrastructure, farmer knowledge, and costs and benefits (Becerra-Encinales et al., 2024). However, when the gap isn'tbridged in a meaningful way, the most promising examples of innovation collapse on themselves, and progress toward feeding people and engaging in sustainable agricultural practices doesn'tmaterialise. Characterising the dynamics, determinants, and constraints of dissemination innovation in crop production is, therefore, not simply an academic exercise but a basic necessity for translating scientific potential into reality on-farm and achieving global value (Bull et al., 2024). Despite this, the spread of technology in the crop production domain is a diffuse and fragmented research space. Although various case studies, regional investigations, and technology-specific use cases exist, constructing a comprehensive global view of research trends, knowledge evolution, and intellectual aspects of a diverse area such as this has been quite challenging.

Questions persist: How has scholarly focus on dissemination mechanisms evolved? Which specific technological domains (e.g., digital agriculture, genomics, sustainable practices) dominate dissemination research? What are the predominant methodological approaches? Where are the geographic concentrations of research activity, and where are the concerning gaps? Which institutions and authors are shaping the discourse?

Identifying the core themes, emerging frontiers, and potential knowledge silos is essential for guiding future research priorities, optimizing funding allocation, informing policy interventions, and ultimately accelerating the flow of beneficial technologies to the farmers who need them. Bibliometric analysis offers a powerful, quantitative lens through which to map and analyze the vast corpus of scholarly literature systematically. By employing statistical methods to examine publication patterns, citation networks, keyword co-occurrence, and author/institutional collaborations, bibliometrics can reveal hidden structures, trace the evolution of ideas, identify influential works and actors, and visualize the conceptual landscape of a research field. The Scopus database, renowned for its extensive multidisciplinary coverage, rigorous curation, and comprehensive citation indexing, provides an ideal dataset for such an endeavor. Its broad scope encompasses research output across diverse geographical regions and disciplines relevant to agricultural technology dissemination, including agronomy, agricultural economics, information technology, and social sciences.

This article, therefore, undertakes a comprehensive bibliometric analysis to map and elucidate the research trends in technology dissemination within crop production, utilizing the rich metadata available through the Scopus database. We aim to move beyond isolated studies to provide a macroscopic, evidence-based overview of the field'sdevelopment over time. Specifically, our analysis seeks to: (1) Quantify the growth trajectory and publication volume of research in this domain; (2) Identify the most prolific countries, institutions, and authors driving the discourse; (3) Discern the predominant research themes and their evolution through keyword and term co-occurrence analysis; (4) Highlight seminal works and journals that have significantly influenced the field; and (5) Uncover emerging trends and potential future research directions. By synthesizing these diverse dimensions, this study provides an invaluable map of the intellectual territory surrounding the dissemination of technology in crop production.

The generated insights should be helpful in multiple groups: researchers can locate understudied niches and potential collaborators; policymakers and funders can more accurately decide how to proceed based on the positive and negative trends found in the evidence; extension and technology transfer agents can improve how they think about their research dissemination possibilities; and agricultural educators can bring curricula on par with the dynamic knowledge base. Finally, through revealing the structure and dynamics of research in this key interstitial space, this analysis adds to the vitally needed development of a more secure understanding of knowledge dynamics – and thus a more effective evidence base for intervention design – to secure that agricultural innovation can reach and benefit farmers worldwide, ensuring that our global food systems become and remain more resilient and productive under the weight of growing challenges. This research may not be merely a literature search; it should serve as a steppingstone toward marketing the laboratory to the field on the same path of development. 1.1 Technology Dissemination in Crop Production: To boost global food security in the face of population growth, climate variability, and resource limitations, the use of high-tech agriculture (AgTech) is required (Anim et al., 2025). Innovations, including stress-tolerant seeds, precision nutrient systems, remote sensing, IoT, AI, and robotic systems, have the potential to be transformative for crop cultivation by yielding more, using fewer resources, and reducing harmful environmental impact (Pehlivan et al., 2025). However, just because these technologies exist doesn'tmean they will have abroad influence. Translating from novelty to scalable, practical application is dependent on the complex, piecemeal undertaking of technology diffusion.

This is about more than shallow 'transfers.' It is a complex, evolving function of social-technical navigation through the creation, sharing, spread, adoption, modification, and persistence of new ideas and practices in specific farming systems and socio-economic circumstances (Giagnocavo et al., 2022). It probes the entire pathway – the actors, channels, and influences involved in how knowledge is created, shared, understood, validated, trialled, adapted, and adopted by farmers. The movement of knowledge is conducive to learning and helps to effect change in complex systems with numerous stakeholders, limited resources, diverse environmental contexts, and entrenched cultural beliefs (Eaton et al., 2021). Its significance is paramount. Innovations that fail to reach farmers are wasted investments—and lost opportunities to address soil degradation, water stress, climate-related pests, and the fragility of smallholder farming. The enduring 'knowing-doing gap' remains a significant barrier to achieving global food security and sustainability (Santos, 2025). Information diffusion is a fundamental aspect of agricultural development, directly affecting the extent of the return on investment in R&D, as well as the sector'sability to adapt at speed. Diffusion occurs in complex ecosystems. Innovators and Researchers generate knowledge. Information flow is typically managed by Extension Services (public, private, or NGO). Input Farmers or input suppliers begin to sell technology directly. Farmers are assessing creatures, evaluating innovations based on their relevance, advantage, complexity, compatibility, trialability, and observability, according to Rogers' Diffusion of Innovations paradigm (Dissanayake et al., 2022). Policymakers create the environment through subsidies, regulation, and infrastructure. Media ICTs, Financial Institutions, and Farmer Groups also have key roles to perform.

The process comprises stages such as awareness, knowledge, persuasion, decision, implementation, and confirmation. Farmers often modify technologies to suit local contexts, thereby increasing their applicability. Diffusion is heavily context-dependent, influenced by policy, markets, physical infrastructure (such as roads and connectivity), agroecology, socio-cultural factors (including gender and networks), and farmer economics and risk aversion. The typical constraints include alack of financial resources, limited access to credit, knowledge gaps, inadequate infrastructure, perceived complexity about skills and resources, relevance and information asymmetry, and weak extension and policy. Technology dissemination is the ultimate driver that converts the potential of agricultural innovation into the actual impact on productivity, sustainability, and livelihoods. It requires evolved knowledge and strategized action for what is groundbreaking AgTech to become realized. Our secondary task is to chart how research interacts with this critical literature.