Sensor-based Phenotyping

Sensor-Based Phenotyping is a phenotyping methodology that employs instrumental sensors to non-invasively capture high-throughput, quantitative plant trait data in response to abiotic stress, distinguishing itself by enabling precise, automated, and real-time monitoring of morphophysiological and biochemical characteristics under controlled or field conditions.

67

Publications

5.1K

Citations

327

Authors

116

Institutions

Publications per year

2017–2026

52

Authors

327

  1. JP
    Jesse Poland

    Kansas State University, United States

    4 publications · 305 citations

    4

    h-index

  2. KR
    Kelly R. Thorp

    U.S. Arid Land Agricultural Research Center, United States

    4 publications · 513 citations

    4

    h-index

  3. YG
    Yufeng Ge

    University of Nebraska–Lincoln, United States

    4 publications · 570 citations

    4

    h-index

  4. AN
    Andrew N. French

    U.S. Arid Land Agricultural Research Center, United States

    3 publications · 475 citations

    3

    h-index

  5. PA
    Pedro Andrade-Sánchez

    Maricopa Medical Center, United States

    3 publications · 493 citations

    3

    h-index

1–5 of 327

Venues

  1. Sensors

    7 publications · 693 citations

    7

    h-index

  2. Remote Sensing

    5 publications · 267 citations

    5

    h-index

  3. Frontiers in Plant Science

    5 publications · 304 citations

    4

    h-index

  4. Crop Science

    3 publications · 145 citations

    3

    h-index

  5. Functional Plant Biology

    3 publications · 569 citations

    3

    h-index

1–5