Review of Forest Pest and Disease Monitoring Technologies

The multitude of forest diseases and insect pests pose significant threats to the development of forest resources and forestry in China. To gain a deeper understanding of the existing technologies for detecting forest diseases and insect pests, this paper provides a comprehensive summary of three primary technologies for forest disease and pest monitoring, including non-UAV non-remote sensing, non-UAV remote sensing, and UAV-based remote sensing monitoring technologies. In this work, we propose a detailed review of the state-of-the-art forest pest monitoring technologies, analyze their advantages and disadvantages, and discuss the future research prospects for UAV-based pest monitoring technologies.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/cait64506.2024.10963235
Primary Topic
Insect and Arachnid Ecology and Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Review of Forest Pest and Disease Monitoring Technologies

Yi Qu, Ying Zhang
Insect and Arachnid Ecology and Behavior
article

Review of Forest Pest and Disease Monitoring Technologies

Yi Qu, Ying Zhang
article en

Abstract

The multitude of forest diseases and insect pests pose significant threats to the development of forest resources and forestry in China. To gain a deeper understanding of the existing technologies for detecting forest diseases and insect pests, this paper provides a comprehensive summary of three primary technologies for forest disease and pest monitoring, including non-UAV non-remote sensing, non-UAV remote sensing, and UAV-based remote sensing monitoring technologies. In this work, we propose a detailed review of the state-of-the-art forest pest monitoring technologies, analyze their advantages and disadvantages, and discuss the future research prospects for UAV-based pest monitoring technologies.

Beijing Municipal Ecological and Environmental Monitoring Center (CN), Taizhou Vocational and Technical College (CN)
Zero hunger
Openalex Percentile: Top 71%
Insect and Arachnid Ecology and Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.