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- W4386222389 endingPage "2232" @default.
- W4386222389 startingPage "2232" @default.
- W4386222389 abstract "Disease and pest stress is one of the important threats to crop growth and development, which have a very adverse impact on crop yield and quality every year, even leading to crop failure. Currently, the use of plant protection unmanned aerial vehicles (UAVs) for pesticide spraying is the most effective means of controlling crop diseases and pests. However, the areas where crop pests and diseases occur are often presented in “point-like” or “patchy” forms, and the UAV’s full-coverage spraying method results in a great waste of pesticides. Therefore, there is an urgent need to research a method for identifying the area of diseases and pest stress to achieve precise targeted spraying, in order to reduce the amount of pesticides used and improve their utilization. By analyzing the low-altitude remote sensing images of crop fields taken by UAVs, real-time pesticide spraying prescription maps can be generated to meet the demand for precise targeted spraying. This review focuses on the actual needs of precise targeted spraying by plant protection UAVs. Firstly, the RS monitoring mechanism of crop diseases and pests by UAVs is studied. Secondly, a comprehensive investigation of the literature on UAV Low-altitude Remote Sensing (UAV-LARS) technology for monitoring and identifying crop diseases and pests is conducted, summarizing the research progress in monitoring and identifying crop diseases and pests, especially in wheat, cotton, and rice. Finally, the key issues to be addressed and the future development direction of UAV-LARS monitoring of crop diseases and pests are proposed." @default.
- W4386222389 created "2023-08-29" @default.
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- W4386222389 date "2023-08-26" @default.
- W4386222389 modified "2023-10-18" @default.
- W4386222389 title "Application Progress of UAV-LARS in Identification of Crop Diseases and Pests" @default.
- W4386222389 cites W2011507161 @default.
- W4386222389 cites W2037305710 @default.
- W4386222389 cites W2067877300 @default.
- W4386222389 cites W2077653178 @default.
- W4386222389 cites W2166326933 @default.
- W4386222389 cites W218515012 @default.
- W4386222389 cites W2229956953 @default.
- W4386222389 cites W2399092553 @default.
- W4386222389 cites W2535625773 @default.
- W4386222389 cites W2619336227 @default.
- W4386222389 cites W2740594002 @default.
- W4386222389 cites W2758810255 @default.
- W4386222389 cites W2766020211 @default.
- W4386222389 cites W2767657507 @default.
- W4386222389 cites W2788451552 @default.
- W4386222389 cites W2790522169 @default.
- W4386222389 cites W2791160863 @default.
- W4386222389 cites W2791322423 @default.
- W4386222389 cites W2795229325 @default.
- W4386222389 cites W2795374190 @default.
- W4386222389 cites W2800273734 @default.
- W4386222389 cites W2884820639 @default.
- W4386222389 cites W2885770726 @default.
- W4386222389 cites W2888770079 @default.
- W4386222389 cites W2894587475 @default.
- W4386222389 cites W2896242594 @default.
- W4386222389 cites W2902625477 @default.
- W4386222389 cites W2904027073 @default.
- W4386222389 cites W2905175840 @default.
- W4386222389 cites W2911301733 @default.
- W4386222389 cites W2912977378 @default.
- W4386222389 cites W2914880340 @default.
- W4386222389 cites W2916442355 @default.
- W4386222389 cites W2932203713 @default.
- W4386222389 cites W2940726923 @default.
- W4386222389 cites W2950604226 @default.
- W4386222389 cites W2954607988 @default.
- W4386222389 cites W2969545732 @default.
- W4386222389 cites W2969597999 @default.
- W4386222389 cites W2978267307 @default.
- W4386222389 cites W2979915629 @default.
- W4386222389 cites W2981529822 @default.
- W4386222389 cites W2983056308 @default.
- W4386222389 cites W2983376237 @default.
- W4386222389 cites W2987175773 @default.
- W4386222389 cites W2991616716 @default.
- W4386222389 cites W2992737141 @default.
- W4386222389 cites W3000295511 @default.
- W4386222389 cites W3005863531 @default.
- W4386222389 cites W3009824020 @default.
- W4386222389 cites W3019180681 @default.
- W4386222389 cites W3022843305 @default.
- W4386222389 cites W3042926432 @default.
- W4386222389 cites W3046296339 @default.
- W4386222389 cites W3046551762 @default.
- W4386222389 cites W3049353669 @default.
- W4386222389 cites W3083086122 @default.
- W4386222389 cites W3084320300 @default.
- W4386222389 cites W3084935374 @default.
- W4386222389 cites W3088154325 @default.
- W4386222389 cites W3090544498 @default.
- W4386222389 cites W3102331170 @default.
- W4386222389 cites W3102884643 @default.
- W4386222389 cites W3108297739 @default.
- W4386222389 cites W3120426666 @default.
- W4386222389 cites W3134645225 @default.
- W4386222389 cites W3136545240 @default.
- W4386222389 cites W3146889079 @default.
- W4386222389 cites W3160202943 @default.
- W4386222389 cites W3177251031 @default.
- W4386222389 cites W3191349376 @default.
- W4386222389 cites W3202239139 @default.
- W4386222389 cites W3206193743 @default.
- W4386222389 cites W3207445082 @default.
- W4386222389 cites W3210103250 @default.
- W4386222389 cites W4200313939 @default.
- W4386222389 cites W4210879769 @default.
- W4386222389 cites W4225784317 @default.
- W4386222389 cites W4367051714 @default.
- W4386222389 cites W4381149059 @default.
- W4386222389 doi "https://doi.org/10.3390/agronomy13092232" @default.
- W4386222389 hasPublicationYear "2023" @default.
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