Research Progress on Remote Sensing Monitoring of Diseases and Insect Pests of Major Grain Crops

As an important factor affecting the yield and quality of grain crops and threatening grain security, traditional pest and disease monitoring can no longer meet the needs of accurate and efficient agricultural production. The development of remote sensing technology provides a new monitoring method, which is specific, accurate and efficient, and provides real-time, rapid and non-destructive spectral data information for the identification of the occurrence and severity of pests and diseases and can realize large-scale monitoring of grain crop pests and diseases. In this paper, through the statistics and analysis of the published literature on remote sensing monitoring of grain crop diseases and pests, the research hotspots and directions of remote sensing monitoring of grain crop diseases and pests are clarified. Based on this foundation, this paper systematically elaborates the mechanism underlying remote sensing-based monitoring and prediction of diseases and insect pests in grain crops. It reviews various remote sensing monitoring approaches for such diseases and pests by leveraging multi-source remote sensing data. Furthermore, it summarizes methodologies for constructing monitoring and prediction models for grain crop diseases and insect pests. Finally, the paper discusses current challenges and future development trends in this field.

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Publication Details

Journal
Agronomy
Published
2026-01-07
DOI
https://doi.org/10.3390/agronomy16020148
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Research Progress on Remote Sensing Monitoring of Diseases and Insect Pests of Major Grain Crops

Qing Liu, J. S. Wang, Nan Huang, Binying Fu et al.
Agronomy
Remote Sensing in Agriculture
article

Research Progress on Remote Sensing Monitoring of Diseases and Insect Pests of Major Grain Crops

Qing Liu, J. S. Wang, Nan Huang, Binying Fu, Yingnan Gu, Youzhi Zhang, Ye Yang, Qinghui Dong, Xin Liu, Siyu Wang, Yang Lu
article en

Abstract

As an important factor affecting the yield and quality of grain crops and threatening grain security, traditional pest and disease monitoring can no longer meet the needs of accurate and efficient agricultural production. The development of remote sensing technology provides a new monitoring method, which is specific, accurate and efficient, and provides real-time, rapid and non-destructive spectral data information for the identification of the occurrence and severity of pests and diseases and can realize large-scale monitoring of grain crop pests and diseases. In this paper, through the statistics and analysis of the published literature on remote sensing monitoring of grain crop diseases and pests, the research hotspots and directions of remote sensing monitoring of grain crop diseases and pests are clarified. Based on this foundation, this paper systematically elaborates the mechanism underlying remote sensing-based monitoring and prediction of diseases and insect pests in grain crops. It reviews various remote sensing monitoring approaches for such diseases and pests by leveraging multi-source remote sensing data. Furthermore, it summarizes methodologies for constructing monitoring and prediction models for grain crop diseases and insect pests. Finally, the paper discusses current challenges and future development trends in this field.

AgronomyVol. 16(2)
Suihua University (CN), Heilongjiang Provincial Academy of Agricultural Sciences (CN), Heilongjiang Bayi Agricultural University (CN)
National Natural Science Foundation of China, Heilongjiang Academy of Agricultural Sciences
Zero hunger
Openalex Percentile: Top 96%
Remote Sensing in Agriculture
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