•The aim of the paper was to automatically diagnose the health status of broilers.•K-means clustering and the ellipse model were used to segment the images.•Seven features were identified to recognize the health status of broilers.•The SVM model, using the POLY kernel function, obtains an accuracy rate of 99.469%.•The algorithm achieves the purpose of early warning.
Computers and Electronics in Agriculture – Elsevier
Published: Jan 1, 2018
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