Multispectral Plant Disease Detection with Vision Transformer–Convolutional Neural Network Hybrid Approaches

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...

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Bibliographic Details
Main Authors: Malithi De Silva, Dane Brown
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
plant disease identification
deep-learning
CNN
ViT
multispectral images
NIR
Online Access:https://www.mdpi.com/1424-8220/23/20/8531

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