Yield Change-point Detection

Yield Change-Point Detection is a methodological framework within temporal yield analysis that identifies abrupt shifts in agricultural productivity trends by distinguishing structural breakpoints from seasonal or stochastic variations in yield time series data.

16

Publications

935

Citations

60

Authors

47

Institutions

Publications per year

2017–2026

3

Authors

60

  1. ST
    Seyed Taghi Akhavan Niaki

    Sharif University of Technology, Iran

    2 publications · 26 citations

    2

    h-index

  2. LH
    Lajos Horváth

    University of Utah, United States

    2 publications · 63 citations

    2

    h-index

  3. TA
    T. Andrew Black

    University of British Columbia, Canada

    1 publications · 186 citations

    1

    h-index

  4. MJ
    Michael J. Hayes

    University of Nebraska–Lincoln, United States

    1 publications · 45 citations

    1

    h-index

  5. JL
    Jianping Li

    Chinese Academy of Sciences, China

    1 publications · 24 citations

    1

    h-index

1–5 of 60

Venues

  1. Agricultural and Forest Meteorology

    2 publications · 231 citations

    2

    h-index

  2. Journal of Dairy Science

    JDS · 1 publications · 15 citations

    1

    h-index

  3. Meat Science

    1 publications · 24 citations

    1

    h-index

  4. Econometrics Journal

    1 publications · 24 citations

    1

    h-index

  5. 1

    h-index

1–5