Abstract
The article examines ways of using digital technologies and artificial-intelligence-based intellectual resources in agriculture. A four-layer digital platform architecture is developed: data collection, integration, analysis and modelling, and decision-making. The effectiveness of technological solutions under water scarcity is assessed through a model calculation, showing that smart irrigation systems can reduce water consumption per unit of output by up to 48 %. Six barriers to the adoption of digital solutions are identified and mechanisms for removing them are substantiated. The specific nature of intellectual resources in agriculture − their reproducibility and role as a new source of economies of scale − is revealed.
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