Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape

New age technologies like machine learning, artificial intelligence, and deep learning are playing a crucial role in many applications. The chapter focuses on development, monitoring, and management approaches to machine learning implementation for effective government service deliveries. Government forms different policies and aims to successfully pass them to the citizens. The government service deliveries include many sectors like healthcare system, education policies, foreign policies, infrastructure and construction policies, public transportation policies, etc. Machine learning (ML), deep learning (DL), and artificial intelligence (AI) provide many methods like time series analysis, regression, classification, reinforcement learning, clustering, dimensionality reduction, long short-term memory, etc. These methods help retrieving meaningful data from the large volume and predict the desired results. These technologies already revolutionized many sectors like automating the application processes, fetching the relevant and required data instantly, etc.

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Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape

Cited by 4 publications

References 23 publications

Digital Transformation of Public Services: Introduction, Current Trends and Future Directions

Digital Transformation of Public Services: Introduction, Current Trends and Future Directions

Modernizing the Processes for Human Resources Through Artificial Intelligence to Optimize a Variety of e-Government Responsibilities

Development, Monitoring, and Management Approaches of Machine Learning Implementations for the Effective Delivery of Government Services

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