ArticleNature communications2026
Machine learning-assisted self-powered ear tag for animal welfare.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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6 authors.
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Abstract
Metabolic health serves as a crucial indicator of animal welfare, yet nutritional imbalances in intensive farming diets often induce metabolic dysregulation. However, precise identification of metabolically abnormal animals within intensive production systems remains challenging. Here we report a machine learning-assisted self-powered ear tag that enables streamlined large-scale deployment in livestock production, providing continuous monitoring of ion homeostasis. The ear tag is powered by a hybrid energy harvesting module based on a triboelectric nanogenerator and a solar cell, sustaining energy-autonomous operation through an optimized duty-cycled strategy. Leveraging a microneedle-based multiplexed biosensing module, the system facilitates minimally invasive and time-resolved monitoring of pH, K
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