RETRACTED: Theoretical research on rice and wheat lodging detection based on artificial intelligence technology and a template matching algorithm

Abstract

AbstractTraditional detection of lodging in rice (Oryza sativa L.) and wheat (Triticum aestivum L.) mostly uses statistical methods or routine ground surveys. These methods have a low degree of automation and poor accuracy. In order to improve the detection of rice and wheat lodging, this study combined artificial intelligence technology and a template matching algorithm to construct a rice and wheat lodging detection system. Moreover, this study used perceptual hash technology for image matching processing, built an intelligent recognition model on the basis of improved algorithms, and combined this with camera technology to build the system's functional framework. The constructed system could perform image matching for rice and wheat, and detected rice and wheat lodging on the basis of image matching. Finally, this study analyzed the system's function structure based on the actual situation of rice and wheat lodging, and designed experiments to verify the effect of the system. The experimental research results showed that the system constructed in this study can play an effective role in the detection of rice and wheat lodging.