Peanut yield prediction with UAV multispectral imagery using a cooperative machine learning approach

Peanut yield prediction with UAV multispectral imagery using a cooperative machine learning approach

The unmanned aerial vehicle (UAV), as a remote sensing platform, has attracted many researchers in precision agriculture because of its operational flexibility and capability of producing high spatial and temporal resolution images of agricultural fields. This study proposed machine learning (ML) mo...

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Bibliographic Details
Main Authors: Tej Bahadur Shahi, Cheng-Yuan Xu, Arjun Neupane, Dayle B. Fleischfresser, Daniel J. O'Connor, Graeme C. Wright, William Guo
Format: Article
Language:English
Published: AIMS Press 2023-04-01
Series:Electronic Research Archive
Subjects:
unmanned aerial vehicle
multispectral imagery
machine learning
simulated annealing
peanut yield prediction
random forest
support vector machine
xgboost
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2023169?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/era.2023169?viewType=HTML

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