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Currently, AI is being widely used in various agricultural scenarios, including intelligent perception, real-time field 12 monitoring, intelligent early warning, disease and pest detection, and intelligent decision-making for crop 13 production environments. With the help of AI, farmers can now detect whether there are any diseases and pests, 14 whether they need to use pesticides, and whether their plant protection practices are effective. This special edition 15 focuses on several issues that still require further study and discussion, such as agricultural unmanned aerial 16 vehicles, crop type mapping, crop phenotypic analysis, and the identification of crop diseases and pests in 17 sustainable and intelligent phytoprotection. 18 2
Zhang et al. (Thu,) studied this question.
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