Plant Disease Detection Algorithm Based on Efficient Swin Transformer

Plant diseases present a significant threat to global agricultural productivity, endangering both crop yields and quality. Traditional detection methods largely rely on manual inspection, a process that is not only labor-intensive and time-consuming but also subject to subjective biases and dependen...

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Veröffentlicht in:	Computers, materials & continua Jg. 82; H. 2; S. 3045 - 3068
Hauptverfasser:	Zhang, Ao, Liu, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Henderson Tech Science Press 2025
Schlagworte:	Algorithms Complexity Crop yield Feature extraction Image classification Parameters Plant diseases
ISSN:	1546-2226, 1546-2218, 1546-2226
Online-Zugang:	Volltext
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