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无人机遥感技术在数字农业中的应用研究进展

张菊 鲁新阳

安徽农学通报2026,Vol.32Issue(16):94-97,4.
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安徽农学通报2026,Vol.32Issue(16):94-97,4.DOI:10.16377/j.cnki.issn1007-7731.2026.16.025

无人机遥感技术在数字农业中的应用研究进展

Research progress on the application of UAV remote sensing technology in digital agriculture

张菊 1鲁新阳2

作者信息

  • 1. 新疆科技学院人工智能学院,新疆库尔勒 841000
  • 2. 巴州大朴石油服务有限公司,新疆库尔勒 841000
  • 折叠

摘要

Abstract

This paper focused on UAV remote sensing technology,with an emphasis on analyzing its platform types and sensor configurations,technical advantages and characteristics,as well as its specific applications in agricultural fields such as crop identification,growth monitoring,pest and disease detection,and yield estimation.UAV remote sensing platforms include fixedwing UAVs,multirotor UAVs;sensor types include multispectral cameras,hyperspectral cameras,LiDAR,thermalinfrared cameras,visiblelight cameras,etc.With the coordination of platforms and sensors,the system responds rapidly and deploys flexibly,supporting diverse takeoff and landing methods and recovery modes,enabling rapid deployment to target areas for monitoring.The integration of multi-source sensors and real-time processing enables the acquisition of high-resolution spectral imagery and farmland spatial information.Specific agricultural applications of UAV remote sensing include:precise crop identification by fusing spectral,textural,and spatial features,combined with object-oriented classification or improved deep learning models to achieve high-precision automatic recognition of crop types;crop growth monitoring by calculating indices such as NDVI from multispectral imagery,combined with SVM,random forest,and other models to achieve quantitative assessment of crop growth status;pest and disease detection based on thermal infrared and multispectral imagery through threshold segmentation,feature extraction,and machine learning classification to achieve early detection and assessment of diseases;and yield estimation through extracting vegetation indices and texture features from multispectral imagery combined with machine learning to construct predictive models.This paper provides a reference for the development and application of UAV remote sensing technology in agriculture.

关键词

无人机/遥感技术/数字农业/农业信息化

Key words

UAVs/remote sensing technology/digital agriculture/agricultural informatization

分类

农业科技

引用本文复制引用

张菊,鲁新阳..无人机遥感技术在数字农业中的应用研究进展[J].安徽农学通报,2026,32(16):94-97,4.

安徽农学通报

1007-7731

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