Abstract
The paper presents a study dedicated to analyzing the role of crop production superfrontiers in forming the agricultural production ecosystem, with a focus on the grain sector. Special attention is given to the superfrontier - data intelligence analytics as an effective tool for optimizing grain production. The authors consider specific examples of successful integration of intelligent analytical methods into practice, identifying their positive impact on improving production efficiency, including cost reduction and business process management enhancement. Among the main barriers to the implementation and use of intelligent technologies and systems, the lack of a unified methodology for collecting and preparing data for training and configuring intelligent grain production systems as a whole is noted. It is shown that artificial intelligence forms the basis of modern monitoring systems, permeating the ecosystem at all levels (supply, production, sales). Considering these features, the article presents a fundamental scheme for organizing the grain production ecosystem.
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