Smartphone transillumination imaging paired with a neuroevolution-tuned ensemble model classifies chicken breast myopathies at 82.4% accuracy on 336 fillets, matching costly hyperspectral systems.
A review on computer vision systems in monitoring of poultry: A welfare perspective
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Multimodal sensors reveal age-related increases in foot temperature, systematic changes in vocal features, and declining movement reactivity to caretakers in early-life laying hens, with high within-modality consistency.
citing papers explorer
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MyoVision: A Mobile Research Tool and NEATBoost-Attention Ensemble Framework for Real Time Chicken Breast Myopathy Detection
Smartphone transillumination imaging paired with a neuroevolution-tuned ensemble model classifies chicken breast myopathies at 82.4% accuracy on 336 fillets, matching costly hyperspectral systems.
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Multimodal Digital Sensing of Early-Life Laying Hens: A Pilot Study Integrating Thermal, Acoustic, Optical-Flow and Environmental Data
Multimodal sensors reveal age-related increases in foot temperature, systematic changes in vocal features, and declining movement reactivity to caretakers in early-life laying hens, with high within-modality consistency.