Research on Weed Identification Based on Deep Learning

In the intricate environment where crops and weeds grow intermingled, an effective solution to this problem is to precisely spray herbicides on weeds while accurately avoiding crops. The technical reliance in this process is the focus of this paper, which involves classifying, identifying, and locating weeds and crops. Currently, deep learning is widely used for image recognition and classification. However, the complex characteristics of the intermingled growth of weeds and crops are the main factors affecting the extraction of weed features. Based on an extensive review of domestic and foreign literature, and combining the research progress and methods of deep learning in the field of image recognition, this paper designs a method that can identify weeds with complex characteristics, effectively improving the accuracy of weed image recognition. This provides a favorable reference for the rapid and precise targeted spraying of herbicides in agricultural intelligent equipment or other devices beneficial to human life.