https://journal.antispublisher.id/index.php/JAIDE <p><strong><em>Journal of Artificial Intelligence and Digital Economy</em></strong> - is dedicated to the rapid dissemination of important research results to the global artificial intelligence (AI) community and digital economy. It is an open-access, community-focused journal publishing research covering all aspects of artificial intelligence in economical theory and digital application. The journal’s scope encompasses all areas of digitalization, economics, and finance with the comparison of AI, including agents and multi-agent systems, automated reasoning, constraint processing and search, knowledge representation, machine learning, natural language, planning and scheduling, robotics and vision, and uncertainty in AI.</p> PT ANTIS INTERNATIONAL PUBLISHER en-US Journal of Artificial Intelligence and Digital Economy 3032-1077 https://journal.antispublisher.id/index.php/JAIDE/article/view/1294 <p><strong><em>Objective:</em></strong><em> This study aims to address the persistent challenges in poultry farming feed management, particularly the inefficiency caused by reliance on manual feeding methods that often result in overfeeding or underfeeding. <strong>Method:</strong> A library research approach was employed to explore, analyze, and synthesize scientific literature relevant to feed management strategies, automation, and technological applications in poultry farming. <strong>Results:</strong> The study proposes a conceptual design for a feed management system utilizing automation and digital recording technologies to regulate the amount and timing of feed delivery with greater precision. This system has the potential to reduce feed waste by up to 20% and improve overall operational efficiency. Furthermore, the proposed development strategy leverages sensor data and real-time feed consumption monitoring to enhance productivity. The effectiveness of the system is determined by three interrelated factors: technology quality, farmers’ managerial capabilities, and environmental conditions within poultry houses. <strong>Novelty:</strong> The study offers an integrative framework combining technological innovation, data-driven decision-making, and environmental management—presenting a novel, cost-efficient solution suitable for small- to medium-scale poultry farms seeking sustainable productivity improvements.</em></p> Zulkifli M Azizi Copyright (c) 2025 Zulkifli, M Azizi https://creativecommons.org/licenses/by/4.0 2025-05-06 2025-05-06 2 5 1 12 10.61796/jaide.v2i5.1294 https://journal.antispublisher.id/index.php/JAIDE/article/view/1342 <p><strong><em>Objective:</em></strong><em> This article aims to analyze methods for assessing economic potential, evaluate key financial and production indicators, and propose practical approaches for agricultural enterprises to enhance their efficiency in Uzbekistan, where the strategic importance of rural development and food security is rising. <strong>Method:</strong> The study utilized systematic, comparative, statistical, and econometric methods to analyze production capacities, financial stability, profitability, and resource utilization. <strong>Result:</strong> Findings demonstrate that effective economic analysis must integrate quantitative assessments, such as liquidity and solvency ratios, with qualitative approaches including SWOT, PEST, and GAP analyses. Production capacity evaluation methods, such as monetary valuation, index, and resource-regression approaches, were identified as crucial for strategic planning. The research offers a holistic framework combining financial, production, and biological potential assessments, emphasizing the role of innovative and diversification strategies in strengthening enterprise resilience. <strong>Novelty:</strong> Despite existing studies, comprehensive methodological frameworks for evaluating economic potential that consider sector-specific factors remain underdeveloped in Uzbekistan, and this study contributes a synthesized, integrative framework tailored specifically to the agricultural sector to support evidence-based decision-making.</em></p> Khakimov Tulkin Halimovich Copyright (c) 2025 Khakimov Tulkin Halimovich https://creativecommons.org/licenses/by/4.0 2025-05-30 2025-05-30 2 5 13 23 10.61796/jaide.v2i5.1342