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  1. (PDF) Optimizing Agricultural Data Analysis Techniques through AI ...

    Sep 7, 2024 · This paper delves into the integration of advanced technologies in agriculture, focusing specifically on optimizing data analysis through artificial intelligence (AI) to strengthen...

  2. G, L. O. TEDESCHI, J. VITALE, AND X. YE I. Introduction to AI in Agriculture Artificial intelligence (AI) is the most discussed technolo-gy of the current age and is rapidly being integrated into people’s lives, …

  3. Optimizing Agricultural Data Analysis Techniques through AI

    Sep 7, 2024 · We present a novel AI-powered model that leverages historical agricultural datasets, utilizing a comprehensive array of established machine learning algorithms to enhance the prediction …

  4. 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, …

  5. Artificial intelligence in agriculture: Advancing crop productivity and ...

    Apr 1, 2025 · With the exponential growth of agricultural data, machine learning models are becoming increasingly important in the processing of data and actionable insights derived to improve crop …

  6. This book explores how big data analytics, machine learning, and artificial intelligence can improve crop management, soil health, water use, and pest control.

  7. 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 …

  8. Artificial Intelligence (AI) is transforming agriculture by offering data-driven solutions to enhance productivity, conserve resources, and mitigate environmental challenges.

  9. The study systematically evaluates scholarly literature and technical reports to map the current state of AI-driven solutions in agriculture, including soil moisture sensing, autonomous weeding, drone …

  10. 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.