Machine learning methods for precision agriculture with UAV imagery: a review

Machine learning methods for precision agriculture with UAV imagery: a review

Because of the recent development in advanced sensors, data acquisition platforms, and data analysis methods, unmanned aerial vehicle (UAV) or drone-based remote sensing has gained significant attention from precision agriculture (PA) researchers. The massive amount of raw data collected from such s...

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Bibliographic Details
Main Authors: Tej Bahadur Shahi, Cheng-Yuan Xu, Arjun Neupane, William Guo
Format: Article
Language:English
Published: AIMS Press 2022-09-01
Series:Electronic Research Archive
Subjects:
drone
machine learning
yield estimation
precision agriculture
disease detection
deep learning
remote sensing
uav
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2022218?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/era.2022218?viewType=HTML

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