The Future of Backscatter in Precision Agriculture

S. N. Daskalakis, S. D. Assimonis, G. Goussetis, M. M. Tentzeris, A. Georgiadis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Nowadays, the explosive growth of Internet-of-Things-related applications has required the design of low-cost and ultra-low-power wireless sensors; backscatter communication has been introduced as a cutting-edge technology that could address the above constraints. For sensing applications, the monitoring of plant water stress is of high importance in smart agriculture. Instead of the traditional ground soil moisture measurements, leaf sensing is an old technology, which is used for the detection of plant water stress. Considering the above topics, this paper aims to provide a contemporary and literature review on fundamentals, applications and research efforts/progress on backscatter systems for leaf sensing applications. It is described how backscatter technology could be exploited for "one sensor per plant" applications in future precision agriculture.
Original languageEnglish
Title of host publication2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Publisher IEEE
Pages647-648
Number of pages2
DOIs
Publication statusPublished - 31 Oct 2019

Publication series

Name IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
ISSN (Electronic)1947-1491

Keywords

  • Wireless sensor networks
  • Backscatter
  • Temperature measurement
  • Temperature sensors
  • Agriculture
  • Wireless communication

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  • Cite this

    Daskalakis, S. N., Assimonis, S. D., Goussetis, G., Tentzeris, M. M., & Georgiadis, A. (2019). The Future of Backscatter in Precision Agriculture. In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (pp. 647-648). ( IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting). IEEE . https://doi.org/10.1109/APUSNCURSINRSM.2019.8889330