Whole-Field Reinforcement Learning: A Fully Autonomous Aerial Scouting Method for Precision Agriculture

Whole-Field Reinforcement Learning: A Fully Autonomous Aerial Scouting Method for Precision Agriculture

Unmanned aerial systems (UAS) are increasingly used in precision agriculture to collect crop health related data. UAS can capture data more often and more cost-effectively than sending human scouts into the field. However, in large crop fields, flight time, and hence data collection, is limited by b...

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Bibliographic Details
Main Authors: Zichen Zhang, Jayson Boubin, Christopher Stewart, Sami Khanal
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
convolutional neural networks
reinforcement learning
unmanned aerial systems
autonomous systems
precision agriculture
crop scouting
Online Access:https://www.mdpi.com/1424-8220/20/22/6585

Internet

https://www.mdpi.com/1424-8220/20/22/6585

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