@article{article_1761663, title={From Waste to Wisdom: Linking Circular Economy Principles with Digital and AI Technologies in Agriculture}, journal={Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi}, volume={9}, pages={1907–1926}, year={2026}, DOI={10.47495/okufbed.1761663}, url={https://izlik.org/JA58WB26YB}, author={Kadıoğlu, İrfan and Özkan, Gülay}, keywords={artificial intelligence, climate-friendly agriculture, digital agriculture, green transition, precision agriculture, sustainable farming.}, abstract={Agriculture is under increasing environmental, economic, and social pressure due to climate change, resource depletion and food insecurity, requiring new approaches to production systems. This review explores how circular economy (CE) principles, digital transformation (DT), and artificial intelligence (AI)can be used together to achieve sustainable agricultural development. Using a systematic literature review guided by the PRISMA method, peer-reviewed studies published between 2016 and 2025 were analysed from the Web of Science and Scopus databases. The inclusion criteria targeted papers that addressed at least one sustainability dimension and focused on CE, DT, or AI applications in agriculture. The results show three interlinked themes. First, CE practices such as composting, biogas production, water reuse, and valorisation of agricultural waste reduce environmental impacts while creating new economic value streams. Second, DT tools, including Internet of Things (IoT) sensors, blockchain, and data analytics, enhance resource efficiency, supply chain transparency, and decision-making precision. Third, AI applications in crop monitoring, yield forecasting, and disease detection offer substantial productivity gains while minimizing inputs and emissions. However, adoption is hindered by high investment costs, limited digital literacy, regulatory gaps, and uneven infrastructure, particularly among smallholders. The review highlights the need for integrated policy frameworks that align investments in CE and DT, expand rural broadband networks, provide targeted training, and incentivize sustainable practices. A conceptual synthesis is proposed that links technological enablers with environmental, economic, and social outcomes. Addressing these barriers through coordinated multi-stakeholder strategies could accelerate the transition to resilient, environmentally friendly, and inclusive agricultural systems. Keywords: artificial intelligence, climate-friendly agriculture, digital agriculture, green transition, precision agriculture, sustainable farming.}, number={3}, organization={This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.}