Modern high-input, intensive agricultural systems predominantly emphasize productivity and profitability at the expense of ecological balance. The Green Revolution, though instrumental in enhancing food security, relied heavily on mechanization, intensive cultivation, and high-yielding varieties, often compromising long-term sustainability. These practices have accelerated land use change and deforestation, leading to a substantial decline in soil organic matter (SOM), a reduction in terrestrial carbon sinks, and a rise in atmospheric carbon dioxide (CO₂) emissions. Under the increasing pressures of climate change—manifested in the form of drought, flooding, and pest outbreaks—the vulnerability of conventional farming systems has been exacerbated. In response to these challenges, regenerative organic agriculture (ROA) has been recognized as a holistic framework capable of restoring ecosystem functions, enhancing soil health, and supporting sustainable food production. This review synthesizes current research on ROA, with particular emphasis on practices that contribute to soil building and ecological regeneration. A meta-analysis of cover cropping practices across diverse soil types has demonstrated the potential to sequester soil organic carbon (SOC) between 0.32 and 16.70 Mg·ha⁻¹·yr⁻¹. Globally, an estimated SOC sequestration of 0.03 Pg·C·yr⁻¹ via cover crops could offset approximately 8% of anthropogenic greenhouse gas emissions. The physical, chemical, and biological improvements to soil properties facilitated by ROA have been systematically examined. Traditional Vedic agricultural practices in India have also been revisited for their ecological relevance and compatibility with regenerative principles. Integrated farming systems combining leguminous crops, agroforestry, horticulture, pasture, and animal husbandry have been reviewed for their synergistic effects on biodiversity enhancement, nutrient cycling, and climate mitigation. Additionally, the transition to renewable energy sources, reliance on self-saved seeds, and minimization of external inputs have been underscored as key strategies for achieving farm-level self-sufficiency and ecological sustainability. This review synthesizes scientific findings and traditional knowledge to highlight ROA as a holistic solution for restoring soil function, conserving natural resources, and advancing sustainable agricultural development.

This study was conducted during the 2023-2024 growing season at the Agricultural Technical College, Northern Technical University, Nineveh Governorate, to evaluate the effects of organic and amino acid fertilization on the vegetative growth and yield performance of eggplant (Solanum melongena L.). A randomized complete block design (RCBD) was employed, comprising two fertilizer types (organic and amino acid) and three concentrations (0, 10, and 15 g·L⁻¹), resulting in six treatment combinations, each replicated three times, for a total of 18 experimental units. Statistical analysis was performed using SAS software. Significant improvements were observed in several vegetative and physiological parameters, including plant height, number of branches, stem diameter, and chlorophyll content. Organic fertilization produced the most substantial increases in plant height (43.000 cm), number of branches (5.444 branches·plant⁻¹), stem diameter (16.367 mm·seedling⁻¹), and leaf chlorophyll content (22.723 SPAD), significantly outperforming amino acid fertilization and the control. In contrast, amino acid fertilization resulted in a higher number of fruits per plant (5.888 fruits·plant⁻¹). The interaction between organic fertilization and the 10 g·L⁻¹ concentration yielded the highest plant height (52.667 cm) and number of fruits (6.000 fruits·plant⁻¹). Additionally, the combination of organic fertilization and 15 g·L⁻¹ concentration significantly increased the number of branches (6.666 branches·plant⁻¹) and chlorophyll content (29.417 SPAD). The stem diameter reached its maximum value (20.050 mm·seedling⁻¹) under amino acid fertilization at a concentration of 10 g·L⁻¹. The control treatment consistently produced the lowest values across all evaluated parameters. These findings demonstrate that both organic and amino acid fertilization can significantly enhance specific growth and yield components in eggplant, with organic fertilizers exhibiting superior overall performance in vegetative traits and amino acids promoting reproductive output. The results highlight the potential of integrating amino acid and organic nutrient management strategies to optimize eggplant productivity under field conditions.

A transition toward organic fertilizers has increasingly been adopted as a key strategy to support sustainable agriculture, particularly in highland farming systems. In Sumber Brantas Village, Batu City, East Java—one of Indonesia's major highland potato-producing regions—potato (Solanum tuberosum) cultivation plays a critical role due to its high market value, adaptability to altitude, and importance as a carbohydrate source. This study investigated the effects of Tithonia diversifolia-derived organic fertilizer and varying plant densities on potato growth and productivity. Four fertilizer application rates (0, 120, 175, and 230 kg N/ha) and three plant densities (35,000, 47,000, and 71,000 plants/ha) were evaluated using a randomized block design arranged in a split-plot layout. Results indicated that the application of Tithonia diversifolia organic fertilizer significantly enhanced plant height, tuber biomass, and nitrogen (N) uptake. The highest fertilizer dose (230 kg N/ha) was associated with a 25% increase in N absorption and a 28% improvement in tuber yield relative to the unfertilized control. However, plant density did not exert a statistically significant effect on measured agronomic parameters. These findings underscore the agronomic value of Tithonia diversifolia as an organic fertilizer capable of improving nutrient use efficiency and tuber productivity under highland cultivation conditions. The results support the integration of this bioresource into sustainable nutrient management strategies for potato production, particularly in regions where agroecological conditions favor organic inputs.

Enhancing the productivity of forage crops while maintaining soil health remains a critical objective in sustainable agriculture. Excessive application of inorganic nitrogen (N) fertilizers, particularly urea, has contributed to soil degradation and environmental concerns, prompting the need for biologically sustainable alternatives. In this study, the effects of substituting urea with bioorganic fertilizer on soil quality and forage yield in an intercropping system of Pennisetum purpureum and Macroptilium atropurpureum were investigated. A randomized block design (RBD) was employed with six substitution treatments: no fertilizer (T), 0% substitution (S0), and 25% (S1), 50% (S2), 75% (S3), and 100% (S4) substitution of urea-N with bioorganic fertilizer. Each treatment was replicated four times, resulting in 24 experimental plots. Parameters evaluated included soil properties, populations of nitrogen-fixing bacteria (NFB) and phosphorus-solubilizing bacteria (PSB), and growth and biomass characteristics of the forage association. Substitution treatments significantly improved soil fertility indices. The highest soil organic carbon (SOC) (3.23%) was observed in S3, while total N content (Total N) in S2, S3, and S4 exceeded that of T and S0. Available phosphorus (P) was greatest in S3 and S4, and the highest cation exchange capacity (CEC) (24.08 me 100 g^-1) was recorded in S4. The S2 and S3 treatments yielded the highest leaf dry weights (1.55 and 1.49 kg plot^-1, respectively), stem dry weights (1.84 and 1.70 kg plot^-1), and total dry forage weight (3.38 and 3.19 kg plot^-1). Leaf-to-stem ratios and leaf areas in S2 and S3 were comparable to S0 and significantly greater than T. The lowest leaf area-to-total forage ratios (14.39 and 15.05 m² kg^-1) were also observed in these treatments. It was demonstrated that 50% and 75% substitution levels of urea-N with bioorganic fertilizer not only enhanced soil quality parameters but also significantly increased forage productivity compared to exclusive urea application. These findings underscore the potential of bioorganic fertilizer as a sustainable alternative to inorganic N sources, contributing to improved soil health, higher forage yields, and more resilient agroecosystems.

The transition toward Industry 5.0 has necessitated a deeper understanding of sustainable supply chain development, particularly within organic agricultural cooperatives operating in rural environments. In this context, a comprehensive assessment was conducted to examine the determinants influencing sustainable supply chains and to evaluate their maturity within organic agricultural cooperatives in Vietnam’s rural regions. A sample of 250 cooperatives was selected for analysis. The data were processed through a two-stage methodology: initially employing an ordinal logistic regression (OLR) model to identify key influencing factors, followed by the application of a sustainable supply chain maturity model to assess the developmental stage of these cooperatives. The results revealed that the average maturity level of sustainable supply chains among the surveyed cooperatives approached Level 3, suggesting a moderate stage of development with partial integration of sustainability practices. Among the evaluated dimensions, quality issues (mean score: 3.53), customer and marketing management (3.22), and supplier management (3.05) were found to exert the most substantial influence on supply chain sustainability. Furthermore, policy implications were proposed to support cooperative development. The study contributes to the existing literature by offering an empirically grounded maturity model framework tailored to the unique dynamics of rural organic agriculture and by advancing the discourse on sustainable supply chain management in emerging economies undergoing industrial transformation.

Robusta coffee cultivation in Malinau Regency has been increasingly associated with forest land conversion, thereby intensifying the need for sustainable management practices that align with both environmental conservation and rural livelihood enhancement. To evaluate the sustainability of Robusta coffee farming systems, the sustainable livelihood framework was applied, focusing on five key livelihood capitals: natural, human, social, physical, and financial. A mixed-methods approach involving Multidimensional Scaling (MDS) and thematic analysis was employed to quantify sustainability levels and identify leverage points for strategic intervention. Results indicated that most capitals were classified as either “unsustainable” or “less sustainable.” Social capital demonstrated the lowest performance, with an index of 15.10, while financial capital followed at 20.88; both were categorized as “unsustainable.” Natural capital (26.13) and human capital (26.09) were deemed “less sustainable,” whereas physical capital showed relatively higher resilience with an index of 46.61, though still within the “less sustainable” threshold. Key constraints included insecure land tenure, underdeveloped infrastructure, limited social cohesion, and economic dependence on non-coffee income sources. Strategic interventions were proposed, including the certification of land ownership for 70% of coffee farmers within three years, the revitalization of farmer cooperatives to improve social capital, and the enhancement of rural infrastructure, particularly targeting 85% electricity coverage in coffee-producing areas by the second year. The integration of Geographical Indication (GI) certification with agroforestry-based production systems was identified as a pivotal strategy to reconcile ecological integrity with market competitiveness. By year four, price premiums of up to 40% in domestic markets and 60% in international markets were targeted through value addition and branding. These integrated measures are expected to reinforce livelihood resilience while promoting long-term socio-ecological sustainability in Malinau’s coffee landscapes.

The determinants of successful partnership models between coffee farmers and key stakeholders—comprising private enterprises, cooperatives, and governmental bodies—were investigated to enhance productivity and sustainability within the coffee sector in Mojokerto, Indonesia. A mixed-methods approach was employed, integrating factor analysis and multiple linear regression modeling to examine the predictive influence of partnership dimensions. Four core dimensions—economic, social, cultural, and agroclimatic—were evaluated through exploratory factor analysis to uncover latent structures underpinning partnership success. The analysis resulted in the identification of four principal components: socio-economic exchange dynamics, socio-economic connectivity of agriculture, capital networks and socio-economic experience, and economic and educational networks. These components were subsequently used as independent variables in a multiple linear regression model, where partnership success was operationalized through kernel weight outputs as a proxy for productivity performance. The regression model accounted for 84.19% of the variance in partnership success, indicating strong explanatory power. The findings underscore the critical role of non-economic dimensions—particularly social connectivity and education—in driving effective partnerships, alongside traditional economic considerations. Policy implications include the need to design intervention strategies that enhance farmers' access to capital, strengthen educational and training programs, and encourage participation in socio-economic networks. While the model demonstrates strong internal validity within the context of the coffee industry, its applicability to other agricultural commodities remains to be tested. Further research is recommended to validate these findings across diverse agro-industrial contexts, thereby supporting the development of inclusive and scalable partnership models. This study contributes empirical evidence to inform stakeholder decision-making and promote resilient, equity-driven frameworks for agricultural collaboration.