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Multispectral Plant Disease Detection with Vision Transformer–Convolutional Neural Network Hybrid Approaches
Plant diseases pose a critical threat to global agricultural productivity, demanding timely detection for effective crop yield management. Traditional methods for disease identification are laborious and require specialised expertise. Leveraging cutting-edge deep learning algorithms, this study expl...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611079/ https://www.ncbi.nlm.nih.gov/pubmed/37896623 http://dx.doi.org/10.3390/s23208531 |