The rapid growth of organic agriculture has created both opportunities and challenges for young agripreneurs, who should navigate certification standards (e.g., Thai Organic and the European Union Organic), compliance requirements, and market-specific documentation for domestic and international trade. This study aims to design and implement an ontology-driven decision support system (DSS) that leverages Semantic Web Rule Language (SWRL) to provide transparent and context-specific recommendations for organic farming. Having adopted a design-and-development approach, the research collected data from 50 agripreneurs and integrated these insights into an ontology framework enriched with rule-based reasoning. Five structured sets of recommendation rules were developed to link organic products, target markets, certification standards, certifying agencies, certification services, and required supporting documents while their performance was evaluated using standard information retrieval metrics. Evaluation based on case-based rule validation indicated that the system returned no false positives across the tested scenarios (100% precision), with an average recall of 93.03% and an overall F-measure of 96.39%, thus demonstrating strong logical correctness and practical applicability within the defined evaluation scope. The study concluded that embedding SWRL-based “IF–THEN” recommendation rules within ontological structures could effectively bridge fragmented regulatory and market knowledge and actionable decision making, in order to offer agripreneurs a scalable and explainable tool to manage certification and market access. The significance of this work lies in its dual contributions: theoretically, it demonstrates how semantic technologies could advance knowledge-to-decision processes in agriculture; practically, it provides structured guidance to support certification compliance and market participation in organic farming.

Adan rice farming is a traditional agricultural system uniquely practised in the border region of North Kalimantan, Indonesia. Cultivated organically using buffalo manure and crop residues, Adan rice contributes to local food sovereignty and shows cross-border market potential in Malaysia and Brunei Darussalam. However, its productivity remains low, and its sustainability status has not yet been clearly established. This study aimed to determine the land characteristics of Adan rice paddies, assess the sustainability status of Adan rice farming, and identify sensitive attributes influencing its sustainability. Data collection involved laboratory analysis of soil samples and a sustainability assessment using the Multidimensional Scaling (MDS) approach with Rapid Appraisal of the Status of Farming (Rap-FARM) software, supported by leverage (sensitivity) analysis, Monte Carlo simulation, stress-value testing, and the coefficient of determination (R²). The respondents consisted of 73 farmers in Krayan Sub-district. The results indicated that Adan rice paddies were dominated by clay loam, sandy clay loam, and sandy loam, with soil pH ranging from acidic to slightly acidic. Fertility indicators showed moderate to high organic carbon content, low to moderate nitrogen levels, low to moderate phosphorus levels, moderate potassium levels, and moderate to high cation exchange capacity (CEC). The novelty of this study lies in linking detailed land characteristics with a multidimensional sustainability framework for a rice cultivation system located in a strategically important border region. Unlike previous studies that focused primarily on high-yield commercial rice, this research highlights how local wisdom preserved in traditional rice cultivation can contribute to sustainable agricultural systems and food security in border areas.