The Role of AI in Optimizing Digital Information Access: A Study of Agricultural Universities of Maharashtra

Abstract

In the contemporary era of digital transformation, libraries are experiencing a profound shift from traditional, manual systems to intelligent, AI-driven ecosystems. This study examines the integration of Artificial Intelligence (AI) technologies such as Natural Language Processing (NLP), machine learning, and deep learning in enhancing digital information resources among users of agricultural universities in Maharashtra. Emphasis is placed on three core library functions: metadata generation, resource recommendation, and reference services. The analysis reveals that AI-driven approaches significantly improve information discoverability, service personalization, and operational efficiency. Particularly, NLP achieves the highest success rate in metadata generation, ensuring seamless access to academic and research materials. However, challenges such as digital literacy gaps, infrastructural limitations, ethical concerns, and user adaptability persist. Through critically evaluating both opportunities and constraints, the study highlights the transformative potential of AI as the digital information and resources in reshaping agricultural university libraries into inclusive, responsive, and future-ready centers for knowledge dissemination and innovation.