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Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic.
Published 2025-01-01“…Experimental results on a citrus leaves dataset show an impressive 99.6% classification accuracy. The proposed framework outperforms existing methods, offering a robust and scalable solution for disease detection in citrus farming, contributing to more sustainable agricultural practices.…”
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A supervised model to identify wolf behavior from tri-axial acceleration
Published 2025-01-01“…Although classification performance decreased following cross-validation, recall scores for lying, trotting, stationary, galloping, walking and chewing individual behaviors (as well as static and locomotion categories) remained above 0.6. Classification performance was consistently poorer for rare behaviors, which constituted less than 1.1% of the training dataset. …”
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