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Introduction

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Smart Big Data in Digital Agriculture Applications

Part of the book series: Agriculture Automation and Control ((AGAUCO))

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Abstract

The introduction of this book sets the stage by exploring the motivation behind leveraging smart big data in the context of digital agriculture. It begins by elucidating the concept of smart big data and its relevance in transforming the agricultural landscape. The authors delve into the intersection of plant physiology and artificial intelligence, presenting it as a novel frontier in agricultural research. The integration of big data acquisition and advanced analytics is highlighted as a key catalyst for innovation in the field. The objectives and methods employed in the book are outlined, providing a roadmap for the readers to navigate the forthcoming content. Emphasis is placed on the unique contributions that the book brings to the intersection of digital agriculture, smart big data, and artificial intelligence. The chapter concludes with a detailed outline, offering a preview of the book’s structure and the topics covered in each section. This comprehensive introduction serves as a foundation for the readers to grasp the significance of plant physiology-informed artificial intelligence in the realm of digital agriculture, providing a compelling rationale for the subsequent chapters. The References section ensures scholarly credibility and points readers toward additional resources for further exploration.

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Authors and Affiliations

  1. Texas A&M Institute of Data Science (TAMIDS), Texas A&M University, College Station, TX, USA

    Haoyu Niu

  2. Department of Mechanical Engineering, University of California, Merced, CA, USA

    YangQuan Chen

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  1. Haoyu Niu
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  2. YangQuan Chen
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Niu, H., Chen, Y. (2024). Introduction. In: Smart Big Data in Digital Agriculture Applications. Agriculture Automation and Control. Springer, Cham. https://doi.org/10.1007/978-3-031-52645-9_1

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