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Algorithm Design Based on Multi-sensor Information Fusion and Greenhouse Internet of Things

  • Rui Huang
  • Shuaibo Peng
  • Wendi Chen
  • Shan Jiang
  • Zhe Wu
  • Jiong MuEmail author
  • Haibo PuEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1117)

Abstract

From the last century, many countries had costed a large amount of energy and material fund to study application of multi-source information fusion technology. At present, whether it is military or civilian, this new technology is widely used, indicating the importance of new technologies. This paper designs and implements a multi-sensor data fusion algorithm combining Kalman filter, Euclidean distance formula and multi-cluster statistical technique. The algorithm can better achieve data fusion and reduce data uncertainty and error caused by various errors such as temperature, humidity and light. We conducted experiments in the cucumber greenhouse in March. The results show that the algorithm is used to process the greenhouse data, which effectively optimizes the decision-making and adjustment basis of the system environmental parameters, which is beneficial to the economic benefits of high greenhouse production.

Keywords

Multi-sensor Information fusion Data association Data decision making Greenhouse Internet of Things 

Notes

Acknowledgments

Thanks to the support from the Scientific Research Project of Sichuan Provincial Department of Education: Research on New Agricultural Internet of Things Intelligent Management System Based on Zigbee Technology (project number: 17ZB0336).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of Information EngineeringSichuan Agricultural UniversityYaanChina
  2. 2.Key Laboratory of Agricultural Information Engineering of Sichuan ProvinceYaanChina

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