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- W4384341504 endingPage "1851" @default.
- W4384341504 startingPage "1851" @default.
- W4384341504 abstract "Rice is an important food crop in China, and diseases and pests are the main factors threatening its safety, ecology, and efficient production. The development of remote sensing technology provides an important means for non-destructive and rapid monitoring of diseases and pests that threaten rice crops. This paper aims to provide insights into current and future trends in remote sensing for rice crop monitoring. First, we expound the mechanism of remote sensing monitoring of rice diseases and pests and introduce the applications of different commonly data sources (hyperspectral data, multispectral data, thermal infrared data, fluorescence, and multi-source data fusion) in remote sensing monitoring of rice diseases and pests. Secondly, we summarize current methods for monitoring rice diseases and pests, including statistical discriminant type, machine learning, and deep learning algorithm. Finally, we provide a general framework to facilitate the monitoring of rice diseases or pests, which provides ideas and technical guidance for remote sensing monitoring of unknown diseases and pests, and we point out the challenges and future development directions of rice disease and pest remote sensing monitoring. This work provides new ideas and references for the subsequent monitoring of rice diseases and pests using remote sensing." @default.
- W4384341504 created "2023-07-15" @default.
- W4384341504 creator A5014023304 @default.
- W4384341504 creator A5036811508 @default.
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- W4384341504 creator A5060810049 @default.
- W4384341504 creator A5069855897 @default.
- W4384341504 date "2023-07-13" @default.
- W4384341504 modified "2023-10-18" @default.
- W4384341504 title "Remote Sensing Monitoring of Rice Diseases and Pests from Different Data Sources: A Review" @default.
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