loading page

A comparative literature review on extensive research on dynamic time warping and its variants for crop forecasting and vegetation using environmental parameters
  • +8
  • Bright Bediako-Kyeremeh ,
  • Dickson Keddy Wornyo ,
  • Maheesha Dashantha Silva ,
  • Henrietta Adjei Pokuaa ,
  • Benjamin Agyemang Badu ,
  • Sylvester Agyemang ,
  • Benjamin Kwapong Osibo ,
  • Lorenzo Mamelona Ambitosoa ,
  • Wenzheng Ye ,
  • Jia Li ,
  • Oppong Kofi Appaw
Bright Bediako-Kyeremeh
Sunyani Technical University

Corresponding Author:[email protected]

Author Profile
Dickson Keddy Wornyo
Author Profile
Maheesha Dashantha Silva
Author Profile
Henrietta Adjei Pokuaa
Author Profile
Benjamin Agyemang Badu
Author Profile
Sylvester Agyemang
Author Profile
Benjamin Kwapong Osibo
Author Profile
Lorenzo Mamelona Ambitosoa
Author Profile
Wenzheng Ye
Author Profile
Oppong Kofi Appaw
Author Profile

Abstract

This piece of research identifies how DTW and some common environmental parameters influence crop yield or vegetation. A total of 14 DTW and its variants and 10 environmental parameters that promote crop yield or vegetation were adopted.Â
The work points out the potential gaps untapped within DTW application in crop yield prediction and the efficacy of this model and its variants in forecasting yield.