Enhancing English Oak Disease Detection and Classification Using CNN-RNN Hybrid Model: A Comprehensive Five-Class Approach
Author:
Affiliation:
1. Chitkara University,Center for Research Impact & Outcome,Rajpura,Punjab,India,140401
2. Chitkara University,Chitkara Centre for Research and Development,Himachal Pradesh,India,174103
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10624685/10624738/10625171.pdf?arnumber=10625171
Reference16 articles.
1. Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
2. Temperate Oak Declines: Biotic and abiotic predisposition drivers
3. Modeling Climate Change Effects on the Distribution of Oak Forests with Machine Learning
4. A review on oak decline: The global situation, causative factors, and new research approaches
5. Spatial oak decline models to inform conservation planning in the Central-Western Iberian Peninsula
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