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Trend and Future of Agribusiness
Published by Institute for Advanced Science, Social, and Sustainable Future
ISSN : -     EISSN : 30631785     DOI : https://doi.org/10.61511/tafoa.v1i2.2024
Core Subject : Agriculture, Social,
Agriculture, Biological Sciences & Forestry Environmental Science Social Sciences
Aims TAFOA aims to advance interdisciplinary dialogue at the intersection of agribusiness and sustainable development. The journal strives to facilitate collaboration among scholars, enhance understanding of human-environment interactions, and contribute to sustainable futures through the dissemination of high-quality, cutting-edge research. Focus TAFOA is dedicated to publishing research that addresses contemporary issues in agribusiness, social sciences, and environmental sustainability. The journal emphasizes interdisciplinary and multidisciplinary approaches, bridging theoretical, practical, and policy perspectives to offer comprehensive insights into the complexities of agribusiness within social and environmental contexts. Scope This journal seeks to publish a broad range of scholarly articles, including: 1. Innovative Agribusiness Models: Explores cutting-edge business models and practices within agribusiness that drive sustainability and resilience. This includes research on circular economy approaches, technology integration, and novel market strategies that address environmental and social challenges. 2. Socio-Economic Impacts of Agribusiness: Analyzes how agribusiness practices influence economic development, social equity, and community well-being. This scope includes studies on the impact of agribusiness on rural livelihoods, economic disparities, and social structures. 3. Climate Resilience in Agriculture: Focuses on strategies and technologies that enhance the climate resilience of agricultural systems. This includes research on adaptive practices, risk management, and the role of innovation in mitigating climate change impacts on agribusiness. 4. Sustainable Resource Management: Investigates advanced methods for managing natural resources in agriculture, such as water use efficiency, soil conservation, and sustainable land management. This scope emphasizes research that supports the long-term viability of agricultural practices. 5. Policy Innovation and Governance: Examines the role of policy and governance in shaping sustainable agribusiness practices. This includes analysis of policy frameworks, regulatory approaches, and governance mechanisms that promote sustainable development and address policy gaps in agribusiness. 6. Technology and Data Integration: Focuses on the role of technology and data analytics in transforming agribusiness practices. This includes research on precision agriculture, big data applications, and digital innovations that enhance operational efficiency and sustainability. 7. Cultural and Ethical Dimensions of Agribusiness: Explores the cultural and ethical aspects of agribusiness, including the impact of cultural practices on agricultural methods and the ethical considerations of agribusiness operations. This scope addresses how agribusiness interacts with cultural values and ethical norms.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 4 Documents
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Search results for , issue "Vol. 3 No. 1: (February) 2026" : 4 Documents clear
The role of farmer groups and agricultural extension services in enhancing rice productivity and farm income Hidayah, Rudy Nur
Trend and Future of Agribusiness Vol. 3 No. 1: (February) 2026
Publisher : Institute for Advanced Social, Science, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/tafoa.v3i1.2026.2709

Abstract

Background:  The rising national demand for rice has drawn attention as farmers face low rice productivity and inadequate farm income. Farmer groups and agricultural extension agents are predicted to tackle these problems; however, their specific contributions remain unclear. Therefore, this study aims to examine the roles of farmer organizations and extension agents in improving rice productivity and farm income in Indonesia. Methods: This study employed 2024 cross-sectional data covering all provinces of Indonesia, gathered from the Central Bureau of Statistics (BPS) and the Ministry of Agriculture. Further, the data for rice productivity are specific, while the available farm income data represent overall agricultural income due to data limitations. Our study analyzed the data employing two separate multiple linear regression approaches, incorporating composite indices for farmer groups and extension agents, as well as priority province status as control variables to assess the influence of these actors on rice productivity and farm income. Findings: The study finds that neither farmer organizations nor extension agents hava a significant effect on rice productivity. However, farmer organizations display an adverse effect on farm income at the 10% significance level, while extension agents have a positive but statistically insignificant effect. Additionally, the priority province variable shows statistical significance at the 1% level for rice productivity but not for farm income. Conclusion: The findings conclude that strengthening farmer organizations and extension services in Indonesia remains a major concern for improving rice productivity and farm income. Despite these insights, using aggregate farm income data remains a limitation that can not fully reflect the specific economic dimension of rice-based farming. Novelty/Originality of this article: Prior research focused on data from a specific region, whereas this article employs national data to provide a broader analysis of farmer organizations and extension agents.
Integrating land suitability assessment and socioeconomic indicators for robusta coffee development Irawan, Suko
Trend and Future of Agribusiness Vol. 3 No. 1: (February) 2026
Publisher : Institute for Advanced Social, Science, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/tafoa.v3i1.2026.3125

Abstract

Background: Robusta coffee is a strategic commodity supporting rural livelihoods and the national economy. However, average productivity (≈0.7 t/ha/year) remains far below its potential (2.5–3.0 t/ha/year). This gap reflects not only biophysical land constraints but also socio-economic limitations. An integrated assessment combining land suitability and socio-economic conditions is therefore necessary for sustainable development planning. Methods: This study was conducted from September 2020 to March 2021 using a descriptive-exploratory and survey approach. Soil samples were analyzed in university laboratories, and biophysical conditions were evaluated using Land Suitability Classification (LSC) through a matching method based on crop requirements. Socio-economic conditions were measured using a Socio-Economic Index (SEI) calculated through min–max normalization (0–1 scale) with equal indicator weighting. LSC and SEI were integrated to assess development potential and readiness. Findings: All study sites were classified as S3 (marginally suitable), limited by low organic carbon, poor drainage, and shallow soil depth. SEI values ranged from 0.15 to 0.63, indicating varying socio-economic readiness across villages. The integrated analysis shows that development feasibility depends not only on land characteristics but also on farmers’ socio-economic capacity, influencing the sustainability and productivity of robusta cultivation. Conclusion: Integrating LSC and SEI provides a comprehensive framework for evaluating regional development potential. Sustainable robusta expansion requires addressing both land limitations and socio-economic empowerment to reduce the productivity gap. Novelty/Originality of this article: This study proposes a multidimensional LSC–SEI framework that bridges biophysical and socio-economic dimensions, offering a strategic decision-support model for sustainable agricultural planning.
Drivers and barriers to agroforestry adoption among forest farmers: A systematic review Aini, Qonita Hasna’ul
Trend and Future of Agribusiness Vol. 3 No. 1: (February) 2026
Publisher : Institute for Advanced Social, Science, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/tafoa.v3i1.2026.3152

Abstract

Background: Agroforestry is widely promoted as a sustainable land-use system that addresses poverty, environmental degradation, and climate change. Despite its strategic role, adoption among forest farmer groups remains limited, indicating a gap between policy ambition and field-level implementation. Identifying the determinants influencing adoption decisions is therefore essential to improve intervention strategies. Methods: This study applies a systematic literature review of empirical publications from 2020–2025. Selected studies were synthesized to identify key determinants of agroforestry adoption, organized into four analytical pillars: economic, socio-cultural, institutional, and ecological factors. Findings: Agroforestry adoption emerges as a multifaceted decision shaped by interacting structural and contextual factors. Economically, income diversification and market access act as major incentives, though high initial costs and delayed returns constrain uptake. Socio-cultural factors, particularly farmer group participation, education, and social capital, significantly increase adoption likelihood. Institutional support—especially secure land tenure under Social Forestry programs and access to extension services—plays a decisive enabling role. Ecological pressures, including land degradation and soil erosion, frequently trigger transitions toward agroforestry as a resilience strategy. These determinants operate interdependently rather than independently. Conclusion: Effective agroforestry promotion requires integrated policies that simultaneously address economic viability, social capacity, institutional support, and ecological conditions. A holistic support ecosystem is needed to position farmers as active agents of sustainable land transformation. Novelty/Originality of this article: This review synthesizes recent empirical evidence into a four-pillar analytical framework, conceptualizing agroforestry adoption as a dynamic and systemic process, and providing a structured basis for more coherent, evidence-based policy design.
The role of bioindicator plants in environmental forensics: Potential applications for detecting heavy metal pollution in agricultural landscapes Afdhila, Zakia
Trend and Future of Agribusiness Vol. 3 No. 1: (February) 2026
Publisher : Institute for Advanced Social, Science, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/tafoa.v3i1.2026.3153

Abstract

Background: Heavy metal contamination in Indonesian agricultural lands poses serious risks to ecosystem stability, food security, and public health. Major sources include excessive application of chemical fertilizers and pesticides, as well as industrial and domestic waste. Bioindicator plants can detect heavy metal pollutants through absorption and accumulation in plant tissues. Integrating bioindicator approaches into environmental forensic studies may strengthen pollution detection and support sustainable land management. Methods: This study employed a literature review and secondary data analysis to examine the potential of bioindicator plants in supporting environmental forensic investigations of heavy metal contamination in agricultural soils. Findings: Common heavy metals identified in Indonesian agricultural lands include Pb, Cd, Zn, Cu, Fe, and Mn. Frequently studied bioindicator plants are Oryza sativa, Eichhornia crassipes, Ipomoea aquatica, Ficus benghalensis, and Pteris vittata. Existing national research primarily focuses on ecological monitoring and phytoremediation, while limited attention has been given to contamination tracing, source identification, standardized analytical methods, and integration with environmental forensic frameworks. This indicates significant methodological and conceptual gaps in applying bioindicator science for evidentiary and investigative purposes. Conclusion: Bioindicator plants have strong potential as scientific tools for detecting and tracing heavy metal contamination. Strengthening their integration into environmental forensic frameworks can enhance evidence-based pollution control and promote sustainable agricultural land management in Indonesia. Novelty/Originality of this article: This study systematically positions bioindicator plants within an environmental forensic framework, moving beyond conventional ecological monitoring toward contamination tracing and evidentiary assessment, thereby providing a conceptual foundation for more reliable pollution detection strategies.

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