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Effects of wind speed and wind direction on crop yield forecasting using dynamic time warping and an ensembled learning model

The cultivation of cashew crops carries numerous economic advantages, and countries worldwide that produce this crop face a high demand. The effects of wind speed and wind direction on crop yield prediction using proficient deep learning algorithms are less emphasized or researched. We propose a com...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Bright Bediako-Kyeremeh, TingHuai Ma, Huan Rong, Benjamin Kwapong Osibo, Lorenzo Mamelona, Isaac Kofi Nti, Lord Amoah
Format: Artigo
Sprache:Inglês
Veröffentlicht: PeerJ Inc. 2024-06-01
Schriftenreihe:PeerJ
Schlagworte:
DTW
Wind speed
Wind direction
Ensembled
LSTM
Cashew
Online-Zugang:https://peerj.com/articles/16538.pdf
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