West Science Agro is a scientific journal dedicated to exploring, discussing, and publishing current research in agriculture, agribusiness and agronomy. The journal aims to be a forum for agricultural researchers, scientists, and practitioners to share the latest knowledge, findings, and thoughts to improve productivity, sustainability, and efficiency in the agricultural sector.
The Development of Precision Agriculture Research in Modern Agriculture: A Bibliometric Study 2010–2024
Precision agriculture has emerged as a transformative approach in modern agriculture by integrating advanced technologies such as remote sensing, artificial intelligence, machine learning, Internet of Things (IoT), robotics, and big data analytics to improve agricultural productivity and sustainability. Given the rapid expansion of research in this field, a comprehensive understanding of its intellectual structure and development trends is essential. This study aims to analyze the evolution of precision agriculture research through a bibliometric examination of global scientific publications indexed in the Scopus database from 2010 to 2024. Bibliometric techniques were employed to evaluate publication trends, influential authors, institutions, countries, and highly cited literature. Furthermore, network visualization analyses using VOSviewer were conducted, including co-authorship, institutional collaboration, country collaboration, co-citation, keyword co-occurrence, overlay visualization, and density visualization. The findings reveal a significant increase in publication output over the study period, reflecting growing academic and practical interest in precision agriculture. India, China, the United States, and the Russian Federation emerged as the most influential contributors in terms of collaboration and research productivity. The most highly cited literature focused on nanotechnology, hyperspectral imaging, sustainable nutrient management, agricultural robotics, and smart farming technologies. Keyword analysis identified precision agriculture, sustainable development, smart agriculture, crops, Internet of Things, machine learning, and artificial intelligence as dominant research themes. Overlay visualization further demonstrated a transition from traditional topics such as soil fertility and crop management toward digitally enabled and sustainability-oriented agricultural systems. The results indicate that precision agriculture has evolved into a highly interdisciplinary field that combines technological innovation and sustainable development principles to address global agricultural challenges. The study provides valuable insights into current research trends and future directions for researchers, policymakers, and practitioners engaged in modern agricultural development.
Copyright (c) 2026 Loso Judijanto https://creativecommons.org/licenses/by-sa/4.0
Bibliometric Analysis of Agribusiness Innovation in Scopus Publications 2010–2024
Agribusiness innovation has emerged as a critical driver of agricultural transformation, sustainability, and economic development in response to global challenges such as food insecurity, climate change, resource constraints, and technological disruption. The growing volume of scholarly publications in this field necessitates a systematic assessment of its intellectual structure and research evolution. Therefore, this study aims to analyze global research trends in agribusiness innovation through a bibliometric approach using publications indexed in the Scopus database from 2010 to 2024. Bibliographic data were collected from Scopus and analyzed using bibliometric performance indicators and science mapping techniques. VOSviewer was employed to visualize co-authorship networks, organizational collaborations, country collaborations, citation structures, keyword co-occurrences, overlay visualization, and density visualization. The results reveal a significant increase in publication output over the study period, indicating growing academic interest in agribusiness innovation. India emerged as the most influential country in terms of collaboration and research productivity, while several authors and institutions played important roles in shaping the field's intellectual development. Citation analysis highlights the importance of digital agriculture, sustainability, artificial intelligence, corporate social responsibility, and green innovation as major research foundations. Keyword mapping identifies agribusiness, agriculture, innovation, and sustainable development as the core themes, while smart agriculture, precision agriculture, machine learning, Internet of Things, and digital transformation represent emerging research directions. The findings demonstrate that agribusiness innovation research has evolved from a focus on competitiveness and entrepreneurship toward a broader integration of sustainability and advanced digital technologies. This study contributes to the literature by providing a comprehensive overview of the development, collaboration patterns, and thematic evolution of agribusiness innovation research and offers valuable insights for researchers, policymakers, and practitioners seeking to advance innovation-driven and sustainable agricultural systems.
Bibliometric Review of Research on Green Farming Practices in Agriculture: A Global Literature Overview 2010–2024
Green farming practices have emerged as a critical approach to addressing the interconnected challenges of food security, environmental degradation, climate change, and sustainable agricultural development. As global interest in environmentally responsible farming continues to expand, a comprehensive understanding of the evolution and intellectual structure of this research field becomes increasingly important. This study aims to examine the development of green farming practices research through a bibliometric analysis of global scientific publications published between 2010 and 2024. Data were collected from the Scopus database and analyzed using bibliometric techniques and VOSviewer to explore publication trends, influential literature, collaboration networks, and thematic developments within the field. The findings reveal a significant growth in research output over the study period, reflecting increasing academic and practical interest in sustainable agriculture. Citation analysis identifies soil health, integrated soil fertility management, agroecology, conservation farming, and food security as the most influential research themes. Co-authorship and country collaboration analyses indicate active international cooperation, with China, India, the Russian Federation, the United States, and several European countries serving as major contributors to the field. Keyword co-occurrence, overlay, and density analyses demonstrate a transition from traditional sustainability-oriented agricultural studies toward technology-driven approaches characterized by artificial intelligence, machine learning, precision agriculture, smart agriculture, Internet of Things (IoT), blockchain, digital transformation, and Agriculture 4.0. The results suggest that future advancements in green farming practices will increasingly rely on the integration of digital technologies and sustainable agricultural principles to enhance productivity, resource efficiency, climate resilience, and food security.
Bibliometric Analysis of Digital Agricultural Research Knowledge Maps in the Global Agricultural Sector
Digital agriculture has emerged as a transformative approach for improving agricultural productivity, resource efficiency, and sustainability through the integration of advanced digital technologies. The rapid growth of research in this field has generated a diverse and multidisciplinary body of knowledge, making it increasingly important to understand its intellectual structure and developmental trends. This study aims to analyze the global landscape of digital agriculture research using a bibliometric approach. Data were collected from the Scopus database and analyzed using VOSviewer to identify publication trends, influential publications, collaboration networks, and thematic developments within the field. The results indicate a significant increase in scholarly interest in digital agriculture, particularly in topics related to artificial intelligence, precision agriculture, smart farming, the Internet of Things (IoT), digital transformation, and sustainable development. Country collaboration analysis reveals that China, India, the Russian Federation, the United States, Germany, Italy, and the United Kingdom are among the leading contributors to knowledge production and international research cooperation. Citation analysis highlights the foundational role of studies on big data, Agriculture 4.0, and smart farming in shaping the field's intellectual development. Furthermore, keyword co-occurrence, overlay, and density visualizations demonstrate that research has evolved from digital infrastructure and data management toward advanced technologies such as machine learning, deep learning, blockchain, and intelligent decision-support systems. The findings suggest that digital agriculture has become a dynamic and interdisciplinary research domain that integrates technological innovation with agricultural sustainability and food security objectives. This study contributes to the understanding of global research trends and provides valuable insights for researchers, policymakers, and practitioners seeking to advance the digital transformation of agriculture.
Mapping Research Trends on Agricultural Resilience in Scholarly Publications (2012–2024)
Agricultural resilience has emerged as an increasingly important research domain in response to global challenges related to climate change, food security, environmental degradation, and sustainable agricultural development. This study aims to map the development, intellectual structure, collaboration patterns, and emerging themes of agricultural resilience research published between 2012 and 2024. A bibliometric approach was employed using scholarly publications indexed in Scopus as the primary data source. The collected bibliographic data were analyzed using VOSviewer to examine publication trends, co-authorship networks, institutional collaboration, country collaboration, citation structures, keyword co-occurrence, overlay visualization, and density mapping. The findings indicate that agricultural resilience research has experienced substantial growth and developed into a multidisciplinary field integrating environmental science, agricultural systems, sustainability studies, and technological innovation. Collaboration analysis identified the United States, China, and India as dominant contributors and central actors in global research networks, while institutional and author analyses revealed the existence of several interconnected scholarly communities. Citation analysis showed that the field is strongly influenced by foundational works on planetary boundaries, ecosystem resilience, climate-smart agriculture, biodiversity conservation, and sustainable development. Keyword mapping demonstrated that major themes include climate change, agriculture, food security, sustainable agriculture, crop resilience, and ecosystem management, with recent developments increasingly emphasizing precision agriculture, machine learning, physiological stress, and adaptive agricultural technologies.
Copyright (c) 2026 Loso Judijanto, Dyah Ayu Suryaningrum https://creativecommons.org/licenses/by-sa/4.0
Marketing Strategy for Vaname Shrimp (Litopenaeus Vannamei) Case Study: Pematang Guntung Village, Teluk Mengkudu District, Serdang Bedagai Regency
This study demonstrates how identifying and developing marketing strategies for whiteleg shrimp farmers in Pematang Guntung Village is crucial, and the identification of appropriate marketing channels is crucial. This study is expected to formulate external and internal factors that can be used to identify strengths, weaknesses, opportunities, and threats, and recommend more effective marketing strategies, enabling farmers to increase income and obtain certainty about selling prices. The subjects of this study were six whiteleg shrimp farmers in Pematang Guntung Village, Teluk Mengkudu District, Serdang Bedagai Regency. The sampling technique used was a purposive sample with data collection using a questionnaire. This study uses a SWOT analysis which is an analysis to systematically identify various factors to formulate the right strategy in the cultivation of whiteleg shrimp (Litopenaeus vannamei). The results of the study state that the Internal factors used to see strengths are: 1). Getting assistance from the government, 2). The ordered shrimp are in accordance with consumer demand, 3). Adequate facilities and infrastructure, 4). Having a skilled, experienced and highly dedicated workforce, 5). Easy to get seeds and which are used to see weaknesses: 1). The product has not met customer demand, 2). Product promotion does not use media, 3). Unable to fulfill shrimp orders quickly, 4). The product is not durable, 5). Lack of technology that can support whiteleg shrimp cultivation. External Factors used to see Opportunities: 1). Many people interested in vannamei shrimp in the market, 2). Having a relatively high selling price, 3). Big business opportunities, 4). Technological improvements that can increase production, 5). Government policies that support and are used to see Threats: 1). A lot of competition in selling vannamei shrimp, 2). Not all of the released shrimp fry can develop well, 3). Consumer orders are not always fulfilled, 4). Lack of interest of the younger generation to cultivate vannamei shrimp, 5). Pest and disease attacks. Based on the SWOT analysis diagram that explains the external and internal factors in cell (quadrant) I shows the SO (Strength-Oppourtunities or Strengths and Opportunities) strategy, namely marketing shrimp by calculating production costs and looking at market prices. Collaborating with potential customers. Increasing the use of technology in an effort to increase production and in the SWOT matrix, namely supporting an aggressive strategy. This strategy explains that the strategy is very profitable for the business because it has opportunities and strengths in business progress, especially the vaname shrimp farming business in Pematang Guntung Village, Teluk Mengkudu District, Serdang Bedagai Regency.
Copyright (c) 2026 Leni Handayani, M. Nazri Piransyah, Marcellina Adellini, Denny Wahyudi, Guru Maratawan, Aulia Kevin, Masita Sari, M. Dimas Ayub, Miftahul Ghania, Iyusnizar Iyusnizar, Azzahra Harahap, Akbar Sandy, Dirga Adetrya, Sudarmaji Sudarmaji, Ralando Sitompul, Hasnul Hafizd, Fachri Riza https://creativecommons.org/licenses/by-sa/4.0
Enhancing Climate-Resilient Farming in Indonesia: The Roles of Crop Diversification, Agroforestry Adoption, Environmental Literacy, and Farmer Cooperative Participation
This study examines the role of crop diversification, agroforestry implementation, environmental literacy, and farmer cooperative participation in promoting climate-resilient agriculture in Indonesia. Climate change has increasingly affected agricultural productivity, environmental sustainability, and farmer livelihoods through droughts, floods, irregular rainfall patterns, and land degradation. A quantitative research approach was employed using a survey of 250 farmers from several agricultural regions in Indonesia. Data were collected using structured questionnaires with a five-point Likert scale and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 4). The findings indicate that crop diversification positively and significantly influences climate-resilient agriculture Agroforestry implementation was found to have the strongest influence. Environmental literacy also demonstrated a significant positive effect, while farmer cooperative participation significantly affected climate-resilient agriculture. The model showed strong explanatory power with an R-square value of 0.742, indicating that the independent variables explained 74.2% of the variance in climate-resilient agriculture. The results highlight the importance of integrating sustainable farming practices, environmental awareness, and institutional collaboration to strengthen agricultural resilience and sustainability in Indonesia.
Copyright (c) 2026 Agatha W. Widati, Yohanes Kamakaula, Trees Augustine Pattiasina https://creativecommons.org/licenses/by-sa/4.0
Determination of the Vegetative Phase Critical for Monitoring Wheat Nitrogen Status Tropical Through Digital Color Analysis and Index Camera Reflectance
Reliable nitrogen (N) monitoring remains a major challenge in tropical wheat systems due to dynamic N uptake, redistribution, and environmental variability across growth stages. Although RGB based digital imaging offers a rapid and non-destructive alternative, its accuracy is often limited by the phase-dependent relationship between leaf color and nitrogen status. This study aimed to identify the critical vegetative stage that provides the most reliable estimation of leaf nitrogen in tropical wheat (Triticum aestivum L.). A greenhouse experiment was conducted using a randomized block design with five nitrogen rates (0–300 kg urea ha⁻¹). Leaf images were collected at four vegetative stages (V1–V4), and RGB values were transformed into vegetation indices (ExG, GLI, TGI, and NGRDI). These indices were correlated with chlorophyll and leaf nitrogen content using Pearson analysis. Results showed a clear phase-specific pattern, with the strongest relationship observed at V3 (second node emergence). The ExG index exhibited a very strong and significant correlation with leaf nitrogen (r = 0.97; p < 0.01). In contrast, weak correlations at V1 and negative trends at V4 were associated with limited nitrogen accumulation and remobilization processes.These findings highlight V3 as the optimal stage for nitrogen estimation and emphasize the importance of a phase-specific approach to improve RGB based monitoring in tropical wheat systems.
Copyright (c) 2026 Charlotte Putri Bandono, Bistok Hasiholan Simanjuntak https://creativecommons.org/licenses/by-sa/4.0
Mapping Global Research Trends on Smart Farming Using Bibliometric Analysis 2010–2025
This study maps global research trends on smart farming through a bibliometric analysis of Scopus-indexed publications published between 2010 and 2025. Using VOSviewer as the primary analytical tool, the study examines publication growth, co-authorship networks, institutional and country collaborations, keyword co-occurrence structures, overlay visualization, and thematic density patterns. The results indicate a significant increase in scholarly output over the study period, reflecting the rapid expansion of digital and intelligent technologies in agriculture. India emerges as a central hub in international collaboration networks, while technology-oriented universities and computer science departments play a dominant role in knowledge production. The keyword analysis reveals that smart agriculture and precision agriculture form the intellectual core of the field, strongly connected to Internet of Things, machine learning, deep learning, remote sensing, and agricultural machinery. Overlay visualization demonstrates a temporal shift from infrastructure-focused research toward AI-driven analytics and sustainability-oriented applications, particularly in relation to climate change and food security. The study highlights the transition of smart farming research toward an integrated Agriculture 4.0 paradigm and identifies future directions related to interoperability, data governance, inclusive adoption, and measurable sustainability impacts.
Bibliometric Mapping of Climate-Smart Agriculture Research
Climate-Smart Agriculture (CSA) has emerged as a strategic framework for addressing the intertwined challenges of climate change, food security, and sustainable agricultural development. This study aims to map the global research landscape of Climate-Smart Agriculture using a bibliometric approach. Data were retrieved from the Scopus database and analyzed using VOSviewer to examine publication trends, co-authorship networks, institutional collaboration, country partnerships, keyword co-occurrence, overlay visualization, and density mapping. The results indicate that CSA research is strongly anchored in the broader discourse of climate change, with dominant themes including food security, adaptation, mitigation, sustainability, and smallholder resilience. The keyword clustering reveals three major intellectual streams: socio-economic resilience, environmental sustainability, and technological innovation. Overlay analysis shows a temporal shift from early vulnerability and adaptation-focused studies toward more recent research emphasizing smart agriculture, precision farming, and digital climate solutions. Collaboration networks demonstrate strong North–South and South–South partnerships, with India, the United States, Kenya, and Ethiopia emerging as key contributors. Institutional mapping highlights the central role of international agricultural research centers and universities in shaping the field. CSA research reflects a mature and interdisciplinary domain that increasingly integrates technological innovation with sustainability objectives. Future research should prioritize inclusive digital solutions, policy implementation analysis, and stronger collaboration among climate-vulnerable regions to enhance the transformative impact of CSA practices.
Copyright (c) 2026 Loso Judijanto, Dewa Oka Suparwata https://creativecommons.org/licenses/by-sa/4.0
Map of Sustainable Agriculture Research Development: Global Bibliometric Analysis (2000–2025)
This study maps the global development of sustainable agriculture research through a bibliometric analysis of publications indexed in Scopus from 2000 to 2025. Using VOSviewer for network visualization, the study examines publication trends, keyword co-occurrence patterns, and collaboration networks among authors, institutions, and countries. The findings reveal a substantial increase in research output over time, indicating growing scholarly and policy attention to sustainability in agriculture. Core research themes are strongly centered on sustainable development, climate change, food security, soil health, and environmental impact. The keyword network demonstrates a multidimensional structure in which environmental sustainability forms the conceptual backbone, supported by soil nutrient management and carbon-related studies. In addition, emerging clusters highlight increasing integration of biotechnology, microbial research, and digital technologies such as machine learning and smart agriculture. Country collaboration analysis identifies China as a dominant global hub, with strong linkages to Europe, North America, and other Asian regions, reflecting expanding international cooperation. Institutional networks further show the presence of key research centers that act as bridges in knowledge production. Overall, the study indicates that sustainable agriculture research is transitioning toward an integrated paradigm combining ecological resilience, technological innovation, and socio-economic sustainability. The results provide a comprehensive overview of the field’s evolution and offer insights into future research directions emphasizing interdisciplinary integration and global collaboration.
Bibliometric Analysis of Local Food Security Research in Southeast Asia with a Focus on Research Issues, Collaboration, and Future Agenda
This study aims to map and analyze the development of local food security research in Southeast Asia through a bibliometric approach, with a focus on identifying dominant research issues, collaboration patterns, and future research directions. Using data extracted from the Scopus database and analyzed with VOSviewer, the study examines publication trends, keyword co-occurrence networks, overlay visualization, and density mapping. The findings indicate that food security research in Southeast Asia is strongly centered on themes such as food supply, climate change, sustainable development, and agricultural production. Over time, the research focus has shifted from macro-level production and economic perspectives toward resilience-based and sustainability-oriented frameworks, particularly emphasizing smallholder vulnerability, crop yield under climate stress, and adaptive agricultural strategies. The density analysis further reveals that while core themes are well established, topics related to localized governance, protein diversification, urban food systems, and digital innovation remain less explored. Collaboration patterns suggest regional anchoring with connections to broader developing-country discourse, highlighting the importance of strengthening intra-regional research networks. The study provides a structured overview of the intellectual landscape of local food security research in Southeast Asia and offers a forward-looking agenda emphasizing climate resilience, sustainability integration, and inclusive regional collaboration.
Trends in Digital Transformation Research in Agribusiness Based on International Publications from 2012 to 2025
This study aims to map global research trends on digital transformation in agribusiness based on international publications indexed in Scopus during the period 2012–2025. Using a bibliometric approach and visual analysis through VOSviewer, this research examines publication growth, author and country collaboration networks, institutional linkages, and thematic evolution within the field. The results indicate a significant increase in scholarly output, reflecting growing academic and practical interest in the digitalization of agribusiness systems. Co-authorship and country collaboration analyses reveal strong regional hubs in Europe, Asia, and North America, with emerging participation from developing economies. Keyword co-occurrence and density visualizations identify digital transformation and agribusiness as the central intellectual pillars, closely linked with themes such as artificial intelligence, Internet of Things, precision agriculture, sustainability, food security, and digital economy. Overlay analysis demonstrates a temporal shift from foundational digital infrastructure and economic restructuring toward intelligent, AI-driven applications and smart agriculture systems. The study highlights the interdisciplinary consolidation of digital transformation research in agribusiness while identifying future research opportunities related to governance, digital capability development, inclusivity, and socio-economic impacts.
Copyright (c) 2026 Loso Judijanto, Putu Fajar Kartika Lestari https://creativecommons.org/licenses/by-sa/4.0
A Bibliometric Study of Organic Farming Research with a Focus on Global Collaboration, Main Themes, and Future Research Directions for the Period 2005–2024
This study presents a comprehensive bibliometric analysis of global research on organic farming published between 2005 and 2024. Using data retrieved from the Scopus database and analyzed through VOSviewer, the study maps publication trends, international collaboration networks, institutional linkages, and thematic structures within the field. The results indicate a significant increase in research output over the past two decades, reflecting the growing importance of organic farming within global sustainability discourse. Collaboration analysis reveals that research leadership remains concentrated in North America and Europe, particularly in the United States, Germany, the United Kingdom, and Italy, although developing countries are increasingly integrated into international research networks. Keyword co-occurrence and overlay visualizations show that organic farming research is strongly anchored in themes such as biodiversity, ecosystem services, climate change, carbon sequestration, and food security. Over time, the research focus has shifted from conservation and land-use concerns toward climate resilience, greenhouse gas mitigation, and smallholder livelihoods. Despite this progress, gaps remain in areas related to policy innovation, market governance, digital transformation, and economic scalability. Overall, the findings demonstrate that organic farming research has matured into an interdisciplinary and globally interconnected field that plays a strategic role in advancing sustainable agricultural systems.
Bibliometric Analysis of Agroforestry Research in Tropical Countries in Publications from 2010 to 2024
This study aims to map the development of agroforestry research in tropical countries during the period 2010–2024 using a bibliometric approach. Agroforestry has increasingly been recognized as a multifunctional land-use system capable of integrating climate mitigation, biodiversity conservation, and rural livelihood improvement. However, the rapid growth of publications has made it difficult to comprehensively understand research trends, collaboration structures, and thematic evolution within this field. To address this gap, this study analyzes publications indexed in the Scopus database and employs VOSviewer to visualize co-authorship networks, institutional collaborations, country partnerships, keyword co-occurrence patterns, overlay visualization, and density mapping. The results indicate a significant increase in research output over the last decade, with strong international collaboration networks linking developed countries and tropical regions. The United States, United Kingdom, Germany, and India emerge as central contributors, while tropical countries such as Indonesia, Brazil, Kenya, and Ethiopia are increasingly active in global research partnerships. Thematic analysis reveals that agroforestry research is strongly centered on climate change, biodiversity, ecosystem services, and food security. Overlay visualization shows a temporal shift from earlier conservation-focused studies toward more integrated themes related to carbon sequestration, climate resilience, and smallholder livelihoods.
Mapping Global Research on Precision Agriculture with a Bibliometric Approach Analysis Period 2010–2025
Precision Agriculture (PA) has emerged as a transformative approach in modern farming, integrating advanced digital technologies to enhance productivity, resource efficiency, and sustainability. This study aims to map global research trends in Precision Agriculture using a bibliometric analysis covering the period 2010–2025. Bibliographic data were retrieved from the Scopus database and analyzed using VOSviewer to examine publication growth, citation patterns, authorship collaboration, institutional networks, country contributions, and keyword co-occurrence structures. The results indicate a significant and continuous increase in scholarly output, reflecting the growing strategic importance of PA in addressing global food security and climate challenges. China, the United States, and India emerge as leading contributors, supported by strong institutional collaborations and expanding international research networks. Thematic analysis reveals that artificial intelligence, machine learning, deep learning, UAV-based remote sensing, IoT systems, and sustainability-related topics dominate the research landscape. The findings highlight a clear shift toward data-driven agricultural systems and integrated smart farming ecosystems. This study provides a comprehensive overview of the intellectual, social, and conceptual structure of Precision Agriculture research and offers insights for future research directions, technological innovation, and policy development to support sustainable agricultural transformation
Agribusiness Innovation Research Trends Based on Scopus Database for the Period 2013–2024
This study aims to map the research trends on agribusiness innovation indexed in the Scopus database during the period 2013–2024 using a bibliometric approach. Data were collected from Scopus and analyzed using VOSviewer to examine publication growth, co-authorship networks, institutional and country collaborations, as well as keyword co-occurrence and thematic evolution. The findings indicate a significant increase in publications over the last decade, reflecting growing academic attention to agribusiness innovation. The keyword network reveals that agribusiness functions as the central theme, closely linked to sustainable development, food security, agroindustry, and agricultural economics. Overlay visualization shows a recent shift toward digital transformation topics such as internet of things (IoT), big data, and smart agriculture, highlighting the increasing integration of Industry 4.0 technologies within agricultural systems. Collaboration analysis identifies Brazil, India, the United States, and several European countries as major contributors to the global research network. The study demonstrates that agribusiness innovation research has evolved from a productivity-oriented perspective toward a systemic, sustainability-driven, and technology-enabled paradigm. These findings provide a comprehensive overview of the intellectual structure and future research directions in agribusiness innovation.
Bibliometric Review of Research on Green Farming Practices in the Period 2010–2024
This study presents a bibliometric review of research on green farming practices published between 2010 and 2024. Using data retrieved from the Scopus database and analyzed through VOSviewer, the study examines publication trends, collaboration networks, and thematic evolution within the field. The findings indicate a significant growth in scholarly output over the last decade, reflecting increasing global concern for sustainable agricultural transformation. Keyword co-occurrence analysis reveals that early research focused primarily on agronomic practices such as soil management, manure application, crop rotation, and yield improvement. Over time, the thematic orientation expanded toward broader sustainability issues, including climate change, biodiversity, food security, and environmental protection. Co-authorship and country collaboration networks highlight the central role of countries such as India, the United States, China, and several European nations in shaping the global research agenda. Overlay and density visualizations further demonstrate a shift from technical input management toward integrated sustainability and resilience frameworks. Overall, the study confirms that green farming research has matured into an interdisciplinary and policy-relevant domain that integrates agronomic innovation with global sustainability challenges.
Copyright (c) 2026 Veronica L. Tuhumena, Liz Yanti Andriyani, Ivonne Fitri Mariay, Nandini Ayuningtias, Syaifullah Rahim https://creativecommons.org/licenses/by-sa/4.0
Bibliometric Analysis of Digital Agriculture Research in the Agricultural Sector
The rapid advancement of digital technologies has significantly transformed the agricultural sector, giving rise to the concept of digital agriculture. This study aims to analyze the global development, thematic structure, and collaboration patterns of digital agriculture research through a comprehensive bibliometric approach. Data were retrieved from the Scopus database covering publications from 2010 to 2024 and analyzed using VOSviewer to examine co-authorship networks, country collaboration, keyword co-occurrence, overlay visualization, and density mapping. The results indicate a substantial growth in scholarly output, particularly in recent years, reflecting increasing global attention to agricultural digitalization. Core research themes revolve around digital transformation, artificial intelligence, Internet of Things (IoT), precision agriculture, and sustainable development. Emerging topics such as blockchain, digital platforms, and innovation ecosystems suggest a shift toward integrated and system-level approaches. Country collaboration analysis highlights China, India, and the United States as major contributors, supported by active European research networks. Digital agriculture research has evolved from a technology-centered perspective toward a broader ecosystem-oriented framework integrating sustainability, supply chain digitalization, and innovation. The findings provide a comprehensive overview of the intellectual structure of the field and identify potential directions for future research, particularly in governance, inclusivity, and long-term socio-economic impact.
Mapping Research Trends on Agricultural Resilience in Publications from 2012 to 2024
This study aims to map the development of agricultural resilience research published between 2012 and 2024 using a bibliometric approach based on the Scopus database. By employing VOSviewer for network, overlay, and density visualizations, the study analyzes publication trends, collaboration patterns, and thematic structures within the field. The results show a significant increase in scholarly output over time, with climate change, agriculture, and food security emerging as the central pillars of the research landscape. Co-authorship and country collaboration networks indicate that the United States and India serve as major global hubs, supported by strong institutional clusters in China and growing contributions from African countries. The keyword co-occurrence analysis reveals a multidisciplinary structure integrating socio-ecological adaptation frameworks with agronomic and biological approaches. Overlay visualization suggests a recent shift toward molecular, genetic, and physiological studies addressing drought and abiotic stress, reflecting a growing emphasis on technological innovation. Agricultural resilience research demonstrates increasing integration across disciplines and regions, highlighting the need for balanced strategies that combine systemic adaptation, sustainability, and crop-level innovation to strengthen agricultural systems under climate uncertainty.
Global Trends in Climate-Smart Agriculture Research in Publications from 2010 to 2024
This study explores global trends in Climate-Smart Agriculture (CSA) research from 2010 to 2024, providing a comprehensive bibliometric analysis of publication growth, thematic evolution, and collaboration networks. The analysis reveals a significant shift in CSA research, with a growing focus on mitigation, technological innovations, and sustainable agricultural practices. Key themes such as soil carbon management, greenhouse gas emissions, and climate-resilient crops have emerged as central research areas, reflecting the growing need for climate adaptation and emission reduction strategies. The research highlights the leading roles of countries like India, China, and African nations such as Kenya, Ethiopia, and Malawi, in shaping CSA solutions. The study also emphasizes the increasing importance of international collaborations, which facilitate knowledge-sharing and the development of context-specific CSA practices. However, gaps in research remain, particularly in the areas of socioeconomic factors, policy frameworks, and scaling mechanisms for CSA adoption. Addressing these gaps is critical for ensuring the broader implementation and effectiveness of CSA strategies in the face of climate challenges.
The Impact of Supply Chain Innovation and Market Collaboration on the Competitive Advantage of Agribusiness MSMEs in the Era of Digital Transformation
The era of digital transformation has created significant opportunities and challenges for agribusiness micro, small, and medium enterprises (MSMEs), particularly in strengthening their competitive advantage through innovation and collaboration. This study aims to analyze the impact of supply chain innovation and market collaboration on the competitive advantage of agribusiness MSMEs using a quantitative approach. Primary data were collected from 155 respondents through a structured questionnaire measured using a five-point Likert scale. Data analysis was conducted using SPSS version 25, including validity and reliability testing, classical assumption tests, and multiple linear regression analysis. The results indicate that supply chain innovation has a positive and significant effect on competitive advantage, while market collaboration also shows a significant positive influence. Simultaneously, both variables contribute significantly to competitive advantage with an R² value of 0.610, indicating that 61.0% of the variance in competitive advantage is explained by the model. These findings highlight the importance of integrating innovative supply chain practices and strengthening collaborative networks to enhance business performance in the digital era. The study provides practical implications for policymakers and agribusiness practitioners in designing strategies that promote digital adoption, partnership development, and sustainable competitiveness.
Copyright (c) 2026 Donny Ivan Samuel Simatupang, Putu Fajar Kartika Lestari https://creativecommons.org/licenses/by-sa/4.0
The Use of Agricultural Technology in Rural Papua: A Rural Sociological Analysis and Global Comparison
This article reviews the literature related to the application of agricultural technology in rural Papua and West Papua using a rural sociology perspective. This study has three main objectives: (1) to examine various national and international literature on agricultural technology in rural Papua, (2) to highlight the social, cultural, and structural factors that influence technology adoption among farmers, and (3) to compare local research findings with international studies to formulate a technology implementation model that is more relevant to local conditions. The analysis shows that technologies such as superior seeds, biotechnology-based fertilizers, simple mechanization, and the digitization of agricultural information can increase productivity by up to 30%. However, these benefits are not evenly distributed due to obstacles such as limited infrastructure, low digital literacy, and dependence on external inputs. Compared with countries such as Vietnam, China, and Kenya, which have recorded 40–45% increases through the use of precision technology and pro-farmer policy support, Papua still lags behind. Social factors such as the leadership of traditional leaders, cultural factors such as local wisdom and resistance to modernisation, and structural factors such as access to extension services and financing are key to successful adoption. Therefore, agricultural development in Papua requires a combination of technological innovation with local knowledge, strengthening social networks, and inclusive, participatory, and sustainable policies.
Copyright (c) 2026 Therresse Nofianti, Fadli Zainuddin; Krisnawati https://creativecommons.org/licenses/by-sa/4.0
The Influence of Ethnoecological Values, Agricultural Biodiversity Management, and Socio-Cultural Adaptation on Sustainable Agricultural Performance in Eastern Indonesia
This study investigates the influence of Ethnoecological Values (EV), Agricultural Biodiversity Management (ABM), and Socio-Cultural Adaptation (SCA) on Sustainable Agricultural Performance (SAP) among smallholder farmers in Eastern Indonesia. Using a quantitative research design with 120 respondents, data were collected through structured questionnaires based on a five-point Likert scale and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3.0). The results reveal that ethnoecological values significantly enhance agricultural biodiversity management and socio-cultural adaptation, both of which, in turn, have positive and significant effects on sustainable agricultural performance. Agricultural biodiversity management and socio-cultural adaptation also serve as partial mediators, translating traditional ecological knowledge into practical sustainability outcomes. The model explains 69% of the variance in sustainable agricultural performance, indicating a strong explanatory power. These findings confirm that sustainability in Eastern Indonesia is culturally and ecologically embedded, arising from the synergistic interaction between traditional values, biodiversity stewardship, and adaptive social systems. The study contributes theoretically by integrating ethnoecology and socio-ecological systems frameworks into empirical sustainability models, and practically by recommending culturally grounded and biodiversity-based strategies for agricultural policy and community development.
Copyright (c) 2025 Trees A. Pattiasina, Darmawanto Uria, Yohanes Kamakaula, Agatha W. Widati https://creativecommons.org/licenses/by-sa/4.0
The Role of Education and Capacity Building in Sustainable Agricultural Transformation
This study investigates the role of education and capacity building in driving sustainable agricultural transformation in Indonesia. Using a quantitative approach, data were collected from 150 farmers through a structured questionnaire employing a five-point Likert scale. The data were analyzed using SPSS version 25, including descriptive statistics and multiple regression analysis. The findings reveal that both education and capacity-building programs have a significant and positive effect on the adoption of sustainable agricultural practices. Education enhances farmers’ knowledge and awareness of sustainable techniques, while capacity building strengthens practical skills and problem-solving abilities. The results underscore the importance of integrating educational interventions with skill-development programs to promote environmentally friendly and productive farming practices. These insights provide guidance for policymakers and agricultural institutions aiming to foster sustainable transformation in Indonesia’s agricultural sector.
Copyright (c) 2025 Loso Judijanto https://creativecommons.org/licenses/by-sa/4.0
Management of Agricultural Waste as an Alternative Energy Source and Value-Added Product
The increasing volume of agricultural waste in Indonesia presents both environmental challenges and opportunities for economic development. This study explores the management of agricultural waste as an alternative energy source and as a basis for value-added products through a qualitative approach. Data were collected from five key informants, including farmers, entrepreneurs, and government officers involved in agricultural waste management. The findings reveal that agricultural waste can be effectively converted into bioenergy, organic fertilizers, animal feed, and eco-friendly products, contributing to environmental sustainability and local economic growth. Challenges identified include limited technical knowledge, inadequate infrastructure, regulatory gaps, and market access constraints. The study highlights the importance of technology adoption, stakeholder collaboration, and supportive policies to optimize agricultural waste utilization in Indonesia.
Copyright (c) 2025 Eko Sutrisno https://creativecommons.org/licenses/by-sa/4.0
The Role of the Agricultural Economy in Supporting Farmer Welfare and Regional Development
This study examines the role of agricultural economics in supporting farmer welfare and regional development in Indonesia using a quantitative approach. Data were collected from 85 farmers through a structured questionnaire measured on a 5-point Likert scale. The study focuses on three key variables: Agricultural Economics Support, Market Access, and Government Policy Support, and their influence on Farmer Welfare and Regional Development. Data were analyzed using SPSS version 25, including descriptive statistics, validity and reliability tests, classical assumption tests, and multiple regression analysis. The results indicate that all three independent variables have a positive and significant effect on both farmer welfare and regional development. Agricultural Economics Support has the strongest influence, followed by Market Access and Government Policy Support. The study highlights the importance of integrated strategies combining economic support, market access improvement, and policy implementation to enhance farmer livelihoods and foster sustainable regional growth. These findings provide valuable insights for policymakers, agricultural institutions, and development practitioners in designing effective programs for rural development in Indonesia.
Analysis of Food Quality and Safety in the Agricultural Supply Chain: Consumer and Producer Perspectives
This study analyzes the perceptions of food quality and safety in the agricultural supply chain from both consumer and producer perspectives. A quantitative approach was employed, with data collected from 135 respondents using a structured questionnaire based on a five-point Likert scale. The analysis was conducted using SPSS version 25, including descriptive statistics, validity and reliability tests, t-tests, and correlation analysis. Results indicate that consumers prioritize freshness and nutritional value, whereas producers emphasize Good Agricultural Practices (GAP), regulatory compliance, and safety protocols. Moderate agreement was observed on traceability and packaging, highlighting areas for improvement. Correlation analysis confirmed that effective producer practices positively influence consumer satisfaction and perceived product quality. The findings underscore the need for enhanced communication, transparency, and collaboration across the supply chain to align producer actions with consumer expectations. This study contributes practical insights for stakeholders to improve food quality management and safety practices in agricultural supply chains.
Copyright (c) 2025 Putu Fajar Kartika Lestari https://creativecommons.org/licenses/by-sa/4.0
Community-Based Agrotourism as a Strategy for Local Economic Empowerment
Community-based agritourism has emerged as a promising strategy for local economic empowerment in rural Indonesia. This study explores how agritourism initiatives managed and implemented by local communities contribute to economic improvement, skill development, and social cohesion. Using a qualitative approach, data were collected through in-depth interviews with five community informants, including a community leader, a local farmer, a homestay operator, a youth representative, and a woman entrepreneur. The findings reveal that agritourism activities provide diversified income opportunities, strengthen entrepreneurial skills, and foster collaboration among community members. Despite its potential, challenges such as limited market access, infrastructure constraints, and the need for ongoing training were identified. The study concludes that community-based agritourism effectively empowers local communities economically and socially, but sustained support from government, private sector, and educational institutions is necessary to maximize long-term benefits.
Copyright (c) 2025 Tirta Mulyadi https://creativecommons.org/licenses/by-sa/4.0
The Influence of Social Capital, Partnerships, and Digital Marketing on the Competitiveness of Local Agribusiness Products
This study examines the influence of social capital, partnerships, and digital marketing on the competitiveness of local agribusiness products in Indonesia. Using a quantitative research approach, data were collected from 125 agribusiness actors through a structured questionnaire employing a 5-point Likert scale. The analysis was conducted using SPSS version 25, involving descriptive statistics, validity and reliability testing, classical assumption tests, and multiple linear regression analysis. The results reveal that all three independent variables—social capital, partnerships, and digital marketing—have a positive and significant effect on competitiveness. Social capital strengthens trust and collective cooperation, partnerships enhance access to resources and market networks, and digital marketing provides broader product visibility and consumer engagement. The regression model explains 61.1% of the variance in competitiveness, indicating that these factors collectively play a crucial role in shaping the performance and market position of local agribusiness products. The findings highlight the importance of collaboration and digital strategy adoption in building sustainable agribusiness competitiveness in the digital era.
Copyright (c) 2025 Safruddin Safruddin, Putu Fajar Kartika Lestari, Khaifah Asgaf https://creativecommons.org/licenses/by-sa/4.0