%0 Journal Article
%T Toward a Computable Honey Bee Colony: Integrating Acoustics, Thermodynamics, Behaviour, Nutrition, Parasites, Pathogens, and Microbial Dynamics
%A Emily Johnson
%A Robert Smith
%A Laura Brown
%A Kevin Miller
%A James Walker
%J Entomology and Applied Science Letters
%@ 2349-2864
%D 2026
%V 13
%N 2
%R 10.51847/XvPe8gGs8G
%P 1-12
%X Honey-bee colonies are increasingly monitored through microphones, vibration sensors, temperature probes, scales, cameras, radar, and environmental instruments, yet these measurements do not automatically constitute a biologically valid colony phenotype. The scientific and decision problem is therefore not simply how to collect more data, but how to relate heterogeneous signals to colony organization, resilience, stress, and management without collapsing observation, inference, diagnosis, and intervention into a single step. This article develops an original, explicitly non-validated digital-phenotyping architecture for treating the colony as a computable biological system. The approach integrates acoustic and behavioural signals; thermal, weight, and environmental data; nutritional conditions; parasites, pathogens, and microbiota; multimodal fusion; uncertainty representation; biological validation; and management interpretation. The strongest defensible synthesis is that no individual modality can identify colony state reliably across contexts, whereas temporally aligned and biologically contextualized modalities may support better state interpretation when their distinct meanings, confounders, and scales are preserved. The proposed architecture therefore separates signal acquisition from modality-specific processing, contextual modelling, conditional fusion, colony-state inference, causal adjudication, and management action. Its principal limitations arise from heterogeneous sensors, incomplete ground truth, seasonally shifting baselines, colony-to-colony variation, sparse biological sampling, and limited external validation. Sensor agreement is consequently treated as convergence of observations rather than proof of biological validity, and early warning is treated as a prompt for inspection rather than evidence that intervention will be beneficial. Progress requires longitudinal multimodal datasets linked to standardized colony examinations, explicit uncertainty, transfer testing, transparent decision rules, and governance arrangements that preserve beekeeper judgement and biological accountability.
%U https://easletters.com/article/toward-a-computable-honey-bee-colony-integrating-acoustics-thermodynamics-behaviour-nutrition-p-dg4oylx6mj4dmlj