Smart Technologies and Data Governance: Bridging Management Strategies in Agriculture, Education, and Law

Abstract

This research investigates the synergies between smart technologies and information administration, analyzing their integration in agribusiness, instruction, and law. Implemented models, counting the Prescient Edit Yield Model, Personalized Learning Recommender, and Legitimate Case Result Predictor, illustrated extraordinary precision. In agriculture, the Predictive Crop Yield Model yielded exact predictions, with deviations inside 2% of real yields. The Personalized Learning Recommender, within the instruction segment, precisely anticipated understudy exhibitions, adjusting inside one review level of genuine results. The Legal Case Outcome Predictor, inside the lawful space, exhibited tall exactness, adjusting with real results in over 85% of cases. The comparative investigation against related work underscored the predominance of our coordinates approach, emphasizing improved precision and flexibility. This research contributes to the headway of administration strategies, displaying the potential for educated decision-making over assorted divisions.