Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial Vehicle
Diseases and pests are main stresses to crop production. It is necessary to accurately and quickly monitor and control the stresses dynamically, so as to ensure the food security and the quality and safety of agricultural products, protect the ecological environment, and promote the sustainable deve...
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| Format: | Article |
| Language: | English |
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Editorial Office of Smart Agriculture
2022-03-01
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| Series: | 智慧农业 |
| Subjects: | |
| Online Access: | http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202201008 |
| _version_ | 1817985916016263168 |
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| author | YANG Guofeng HE Yong FENG Xuping LI Xiyao ZHANG Jinnuo YU Zeyu |
| author_facet | YANG Guofeng HE Yong FENG Xuping LI Xiyao ZHANG Jinnuo YU Zeyu |
| author_sort | YANG Guofeng |
| collection | DOAJ |
| description | Diseases and pests are main stresses to crop production. It is necessary to accurately and quickly monitor and control the stresses dynamically, so as to ensure the food security and the quality and safety of agricultural products, protect the ecological environment, and promote the sustainable development of agriculture. In recent years, with the rapid development of the unmanned aerial vehicle (UAV) industry, UAV agricultural remote sensing has played an important role in the application of crop diseases and pests monitoring due to its high image spatial resolution, strong data acquisition timeliness and low cost. The relevant background of UAV remote sensing monitoring of crop disease and pest stress was introduced, then the current methods commonly used in remote sensing monitoring of crop disease and pest stress by UAV was summarized. The data acquisition method and data processing method of UAV remote sensing monitoring of crop disease and pest stress were mainly discussed. Then, from the six aspects of visible light imaging remote sensing, multispectral imaging remote sensing, hyperspectral imaging remote sensing, thermal infrared imaging remote sensing, LiDAR imaging remote sensing and multiple remote sensing fusion and comparison, the research progress of remote sensing monitoring of crop diseases and pests by UAV worldwide was reviewed. Finally, the unresolved key technical problems and future development directions in the research and application of UAV remote sensing monitoring of crop disease and pest stress were proposed. Such as, the performance of the UAV flight platform needs to be optimized and upgraded, as well as the development of low-cost, lightweight, modular, and more adaptable airborne sensors. Convenient and automated remote sensing monitoring tasks need to be designed and implemented, and more remote sensing monitoring information can be obtained. Data processing algorithms or software should be designed and developed with greater applicability and wider applicability, and data processing time should be shortened by using 5G-based communication networks and edge computing devices. The applicability of the algorithm or model for UAV remote sensing monitoring of crop disease and pest stress needs to be stronger, so as to build a corresponding method library. We hope that this paper can help Chinese UAV remote sensing monitoring of crop diseases and pests to achieve more standardization, informatization, precision and intelligence. |
| first_indexed | 2024-04-14T00:03:58Z |
| format | Article |
| id | doaj.art-638f0dd8a18f46e48f61f30893e02bb7 |
| institution | Directory Open Access Journal |
| issn | 2096-8094 |
| language | English |
| last_indexed | 2024-04-14T00:03:58Z |
| publishDate | 2022-03-01 |
| publisher | Editorial Office of Smart Agriculture |
| record_format | Article |
| series | 智慧农业 |
| spelling | doaj.art-638f0dd8a18f46e48f61f30893e02bb72022-12-22T02:23:37ZengEditorial Office of Smart Agriculture智慧农业2096-80942022-03-014111610.12133/j.smartag.SA202201008SA202201008Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial VehicleYANG Guofeng0HE Yong1FENG Xuping2LI Xiyao3ZHANG Jinnuo4YU Zeyu5Huanan Industrial Technology Research Institute of Zhejiang University, Guangzhou 510700, ChinaHuanan Industrial Technology Research Institute of Zhejiang University, Guangzhou 510700, ChinaHuanan Industrial Technology Research Institute of Zhejiang University, Guangzhou 510700, ChinaHuanan Industrial Technology Research Institute of Zhejiang University, Guangzhou 510700, ChinaHuanan Industrial Technology Research Institute of Zhejiang University, Guangzhou 510700, ChinaHuanan Industrial Technology Research Institute of Zhejiang University, Guangzhou 510700, ChinaDiseases and pests are main stresses to crop production. It is necessary to accurately and quickly monitor and control the stresses dynamically, so as to ensure the food security and the quality and safety of agricultural products, protect the ecological environment, and promote the sustainable development of agriculture. In recent years, with the rapid development of the unmanned aerial vehicle (UAV) industry, UAV agricultural remote sensing has played an important role in the application of crop diseases and pests monitoring due to its high image spatial resolution, strong data acquisition timeliness and low cost. The relevant background of UAV remote sensing monitoring of crop disease and pest stress was introduced, then the current methods commonly used in remote sensing monitoring of crop disease and pest stress by UAV was summarized. The data acquisition method and data processing method of UAV remote sensing monitoring of crop disease and pest stress were mainly discussed. Then, from the six aspects of visible light imaging remote sensing, multispectral imaging remote sensing, hyperspectral imaging remote sensing, thermal infrared imaging remote sensing, LiDAR imaging remote sensing and multiple remote sensing fusion and comparison, the research progress of remote sensing monitoring of crop diseases and pests by UAV worldwide was reviewed. Finally, the unresolved key technical problems and future development directions in the research and application of UAV remote sensing monitoring of crop disease and pest stress were proposed. Such as, the performance of the UAV flight platform needs to be optimized and upgraded, as well as the development of low-cost, lightweight, modular, and more adaptable airborne sensors. Convenient and automated remote sensing monitoring tasks need to be designed and implemented, and more remote sensing monitoring information can be obtained. Data processing algorithms or software should be designed and developed with greater applicability and wider applicability, and data processing time should be shortened by using 5G-based communication networks and edge computing devices. The applicability of the algorithm or model for UAV remote sensing monitoring of crop disease and pest stress needs to be stronger, so as to build a corresponding method library. We hope that this paper can help Chinese UAV remote sensing monitoring of crop diseases and pests to achieve more standardization, informatization, precision and intelligence.http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202201008unmanned aerial vehicleremote sensing monitoringdiseases and pests stressdata acquisitiondata processingdeep learningmultiple remote sensing fusion |
| spellingShingle | YANG Guofeng HE Yong FENG Xuping LI Xiyao ZHANG Jinnuo YU Zeyu Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial Vehicle 智慧农业 unmanned aerial vehicle remote sensing monitoring diseases and pests stress data acquisition data processing deep learning multiple remote sensing fusion |
| title | Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial Vehicle |
| title_full | Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial Vehicle |
| title_fullStr | Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial Vehicle |
| title_full_unstemmed | Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial Vehicle |
| title_short | Methods and New Research Progress of Remote Sensing Monitoring of Crop Disease and Pest Stress Using Unmanned Aerial Vehicle |
| title_sort | methods and new research progress of remote sensing monitoring of crop disease and pest stress using unmanned aerial vehicle |
| topic | unmanned aerial vehicle remote sensing monitoring diseases and pests stress data acquisition data processing deep learning multiple remote sensing fusion |
| url | http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202201008 |
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