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Sensor Fusion

  • Reference work entry
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Encyclopedia of Digital Agricultural Technologies

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Introduction

Sensor fusion is a relatively new discipline that emerged about three decades ago and has become an important topic in many areas of study such as the smart agriculture community. Several different terms, such as “data fusion,” “sensor fusion,” “multisensor data fusion,” “information fusion,” and “sensor data fusion,” have been used in literature. Although there may be slight differences or emphases among the terms, we use these terms synonymously and adopt the term “sensor fusion” throughout the chapter.

The principle of sensor fusion has a biological origin. Humans and animals have developed the capability to utilize information from different senses to enhance the accuracy of their detection and assessment of predator and prey in their surrounding environment and consequently improve their chances for survival during the long process of evolution (Hall and Llinas 1997). For instance, humans evaluate the edibility of a food not only with the sense of vision but also by...

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Author information

Authors and Affiliations

  1. Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China

    Shuxiang Fan

  2. Bio-Sensing, Automation, and Intelligence Laboratory, Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA

    Changying Li

Authors
  1. Shuxiang Fan
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  2. Changying Li
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Corresponding author

Correspondence to Changying Li .

Editor information

Editors and Affiliations

  1. Biological Systems Engineering, Washington State University, Prosser, WA, USA

    Qin Zhang

Section Editor information

  1. Department of Agricultural and Biological Engineering, Pennsylvania State University, PA, USA

    Paul Heinemann

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Fan, S., Li, C. (2023). Sensor Fusion. In: Zhang, Q. (eds) Encyclopedia of Digital Agricultural Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-24861-0_142

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