A Framework for Detecting and Managing Non-Point-Source Pollution in Agricultural Areas Using GeoAI and UAVs

A Framework for Detecting and Managing Non-Point-Source Pollution in Agricultural Areas Using GeoAI and UAVs

This study proposes a novel framework for detecting and managing non-point-source (NPS) pollution in agricultural areas using unmanned aerial vehicles (UAVs) and geospatial artificial intelligence (GeoAI). High-resolution UAV imagery, combined with the YOLOv8 instance segmentation model, was employe...

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Bibliographic Details
Main Authors: Miso Park, Heung-Min Kim, Youngmin Kim, Suho Bak, Tak-Young Kim, Seon Woong Jang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Drones
Subjects:
unmanned aerial vehicle
geospatial artificial intelligence
non-point-source pollution
deep learning
environmental monitoring
Online Access:https://www.mdpi.com/2504-446X/8/12/786
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