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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]

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