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This paper delves into the integration of advanced technologies in agriculture, focusing specifically on optimizing data analysis through artificial intelligence (ai) to strengthen. In the review, an attempt has been made to. To address this issue, i introduce an emerging subdomain of artificial intelligence, explainable artificial intelligence (xai), and associated toolkits, interpretable machine learning

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This study demonstrates the usefulness of several methods by applying them to an openly available dataset. Artificial intelligence (ai) tools are perceived to provide solutions for diverse agricultural problems and facilitate precision agriculture Ai technologies, including machine learning, computer vision, and precision agriculture, are explored

This review highlights the significant potential of ai to improve agricultural productivity, efficiency, and sustainability.

Specifically, the article will introduce foundational ai technologies, including machine learning, data analysis, computer vision, and robotics, and explore their practical applications in agricultural gene editing, crop improvement, and data analysis. This book explores how big data analytics, machine learning, and artificial intelligence can improve crop management, soil health, water use, and pest control. This comprehensive review examines the role of ai in various agricultural practices, including precision farming, crop management, soil health monitoring, pest control, and predictive analytics.