Digital agriculture refers to the integration and application of digital technologies, data systems, and information-based services across agricultural production, farm management, and agri-food value chains. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence, big data analytics, remote sensing, satellite positioning, cloud computing, blockchain, and digital platforms, which enable the collection, processing, and exchange of agricultural information ^[1][2]. These technologies support data-driven decisions in crop and livestock management, resource allocation, production monitoring, supply chain coordination, agricultural marketing, and risk management ^[1][3]. From an economic and managerial perspective, digital agriculture can improve operational efficiency, reduce information asymmetries and transaction costs, facilitate market access, and create new business models and service arrangements in agricultural value chains ^[2][3]. However, its development also depends on digital infrastructure, farmers' technological capabilities, investment costs, data governance, and institutional conditions. Digital agriculture therefore represents not merely the adoption of individual technologies but a broader transformation in how agricultural activities are organized, managed, and economically coordinated.