A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand

A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand

Deep learning-based plant disease detection has gained significant attention from the scientific community. However, various aspects of real horticultural conditions have not yet been explored. For example, the disease should be considered not only on leaves, but also on other parts of plants, inclu...

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Bibliographic Details
Main Authors: Muhammad Hammad Saleem, Johan Potgieter, Khalid Mahmood Arif
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep learning
optimization algorithms
cross-validation
plant disease detection
Online Access:https://ieeexplore.ieee.org/document/9864587/

Internet

https://ieeexplore.ieee.org/document/9864587/

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