Desenvolvimento de um sistema para diagnostico preventivo de laminite em bovinos de leite utilizando logica Fuzzy / Development of a system for preventive diagnosis of lameness in dairy cattle using fuzzy logic

AUTOR(ES)
DATA DE PUBLICAÇÃO

2007

RESUMO

From the middle of the 20th century experts on genetics and producers had intensified the work to improve dairy production. Advances have appeared, however these results have not been followed by the improvement of cows legs and hooves. The intensification of herd?s needs have been carried through housing modifications aiming at to adjust them as well as to become them more productive, leading into a larger concentration of animals per floor area, resulting in a higher volume of dejects, higher humidity, less hygiene, and difficulties of handling. In order to solve these problems a process of waterproofing for these constructions floors was started in order to reduce the humidity and to make easier the hygiene process. This are reinforced whith the free-stall housing systems constructions, where the dairy cows often stay most of the time standing on the concrete floor. This scenario results in the sprouting of hoof pathologies. This research considered the development of a computational system for preventive diagnosis of confined dairy cattle hoof pathologies in free-stall housing, for estimating the presence of diffuse aseptic pododermatitis, also known as laminitis, and has as target the public such as: veterinarians, producers, handlers, consultants, ration manufacturers, breeding lodging?s designers and constructors. Clinical diagnosis of the laminitis is only possible by observing faulty locomotion; however when the symptoms are apparent, the pathology is already in an advanced stage demanding the immediate intervention of a veterinarian, incurring into economic losses and animal welfare restrains. A correlation with the nutritional factors of feed intake, the presence of more abrasive pavements, climatic changes and handling conditions has allowed the conversion of these data into linguistic terms, due to its advantages of using subjective concepts that provides a high degree certainty, and the application of Fuzzy Logic for the development of a inference algorithm based on a rule database to be used as the decision support process. The results showed that the expert system generates information of possible increase or decrease in the laminitis development possibilities and also supplies recommendations for producers? actions by making modifications in parameters regarding environmental conditions, feeding and handling management. The technology generated contributes for the reduction of the economic losses and leads to improvement in dairy cattle welfare

ASSUNTO(S)

sistema de suporte de decisão laminitis expert system handling logica difusa fuzzy logic animal welfare animais - trato preventive diagnosis laminite bem-estar animal diagnostico decision support

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