Plant Disease Identification Based on Encoder–Decoder Model

Plant disease identification is a crucial issue in agriculture, and with the advancement of deep learning techniques, early and accurate identification of plant diseases has become increasingly critical. In recent years, the rise of vision transformers has attracted significant attention from resear...

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Bibliographic Details
Published in:	Agronomy (Basel) Vol. 14; no. 10; p. 2208
Main Authors:	Feng, Wenfeng, Sun, Guoying, Zhang, Xin
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.10.2024
Subjects:	Accuracy Agriculture Classification Coders Competitiveness Computational linguistics Computer vision Crop diseases Crops Datasets Deep learning Diseases Identification imagenet Language processing Leaf-curl Leafspot Leaves Machine learning Natural language interfaces Neural networks Plant diseases Potatoes Precision agriculture Rust fungi Soybeans Tomatoes Transfer learning Viral diseases vision transformer
ISSN:	2073-4395, 2073-4395
Online Access:	Get full text
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