Rethinking feature representation and attention mechanisms in intelligent recognition of leaf pests and diseases in wheat

• Published in: Scientific reports Vol. 15; no. 1; pp. 15624 - 12
• Main Authors: Zhang, Yuhan, Liu, Dongsheng
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 05.05.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/117; 639/705/258; 639/705/531; Algorithms; Attention mechanism; Big data; Cereal crops; Crops; Disease; Disease recognition; Humanities and Social Sciences; Leaves; multidisciplinary; Neural network; Pests; Plant Diseases - parasitology; Plant Leaves - parasitology; Prediction model; Science; Science (multidisciplinary); Triticum - parasitology; Wheat; Wheat recognition; Attention mechanism; Wheat recognition; Prediction model; Big data; Feature fusion; Neural network; Disease recognition

Complex pest and disease features appearing during the growth of wheat crops are difficult to capture and can seriously affect the normal growth of wheat crops. The existing methods ignore the full pre-interaction of deep and shallow features, which largely affects the accuracy of identification. To...