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Ultra-Wideband Microwave Imaging System for Root Phenotyping.
Shi, Xiaodong; Li, Jiaoyang; Mukherjee, Saptarshi; Datta, Srijan; Rathod, Vivek; Wang, Xinyu; Lu, Wei; Udpa, Lalita; Deng, Yiming.
Affiliation
  • Shi X; Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
  • Li J; Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
  • Mukherjee S; Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Datta S; Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
  • Rathod V; Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
  • Wang X; College of Life Science, Nanjing Agricultural University, Nanjing 210095, China.
  • Lu W; College of Life Science, Nanjing Agricultural University, Nanjing 210095, China.
  • Udpa L; Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
  • Deng Y; Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
Sensors (Basel) ; 22(5)2022 Mar 05.
Article in En | MEDLINE | ID: mdl-35271178
ABSTRACT
The roots are a vital organ for plant growth and health. The opaque surrounding environment of the roots and the complicated growth process means that in situ and non-destructive root phenotyping face great challenges, which thus spur great research interests. The existing methods for root phenotyping are either unable to provide high-precision and high accuracy in situ detection, or they change the surrounding root environment and are destructive to root growth and health. Thus,we propose and develop an ultra-wideband microwave scanning method that uses time reversal to achieve in situ root phenotyping nondestructively. To verify the method's feasibility, we studied an electromagnetic numerical model that simulates the transmission signal of two ultra-wideband microwave antennas. The simulated signal of roots with different shapes shows the proposed system's capability to measure the root size in the soil. Experimental validations were conducted considering three sets of measurements with different sizes, numbers and locations, and the experimental results indicate that the developed imaging system was able to differentiate root sizes and numbers with high contrast. The reconstruction from both simulations and experimental measurements provided accurate size estimation of the carrots in the soil, which indicates the system's potential for root imaging.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microwave Imaging Type of study: Diagnostic_studies Language: En Journal: Sensors (Basel) Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microwave Imaging Type of study: Diagnostic_studies Language: En Journal: Sensors (Basel) Year: 2022 Type: Article Affiliation country: United States