Using image processing and statistical modelling to achieve improved pig weight predictions

Přispěvatelé:	Banhazi, TM, Tscharke, M, Ferdous, WM, Saunders, C, Lee, S-H, CIGR International symposium of the Australian Society for Engineering in Agriculture Brisbane, Queensland 13-16 September 2009
Jazyk:	angličtina
Rok vydání:	2009
Předmět:	image analysis PLF allometry pigs weight growth rate computer vision
Popis:	A computer vision system was developed to automatically measure the live weight of pigs without human intervention. The system was trialled in a semi enclosed structure to demonstrate its ability to cope with non-uniform lighting conditions. Early results demonstrate that the system can achieve sufficient practical accuracy. The results of the initial trials demonstrated that weight of the pigs can be predicted with an average error of 1.18kg. Precision, reliability and repeatability are likely to be increased in future through improved weight prediction models, increased image resolution and algorithm enhancement.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=od______1231::23001e782b5db280290c2682553997ee https://hdl.handle.net/1959.8/115962 Zobrazit plný text záznamu