首页|Study Results from Federal State Budgetary Educational Institution of Higher Edu cation Update Understanding of Artificial Intelligence (Superfrontiers of Crop P roduction: Artificial Intelligence in Formation the Grain Production Ecosystem)

Study Results from Federal State Budgetary Educational Institution of Higher Edu cation Update Understanding of Artificial Intelligence (Superfrontiers of Crop P roduction: Artificial Intelligence in Formation the Grain Production Ecosystem)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting from the Federal Sta te Budgetary Educational Institution of Higher Education by NewsRx journalists, research stated, “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.” Our news correspondents obtained a quote from the research from Federal State Bu dgetary Educational Institution of Higher Education: “Special attention is given to the superfrontier - data intelligence analytics as an effective tool for opt imizing grain production. The authors consider specific examples of successful i ntegration of intelligent analytical methods into practice, identifying their po sitive impact on improving production efficiency, including cost reduction and b usiness process management enhancement. Among the main barriers to the implement ation and use of intelligent technologies and systems, the lack of a unified met hodology for collecting and preparing data for training and configuring intellig ent grain production systems as a whole is noted. It is shown that artificial in telligence forms the basis of modern monitoring systems, permeating the ecosyste m at all levels (supply, production, sales).”

Federal State Budgetary Educational Inst itution of Higher EducationArtificial IntelligenceEmerging TechnologiesMac hine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.31)