Módulo Computacional para Indicação de Tratamento Anti-helmíntico em Caprinos e Ovinos
Abstract
Parasitic diseases are causes of losses in goats and sheep. One of the processes to solve this problem is the analysis of characteristics related to animal health and the subsequent application of anthelmintic drugs. Aiming to automate this process, this work presents a computational module responsible for indicating the need for anthelmintic treatment in goats and sheep. For this, a fuzzy system was developed that has as input measurements of Eggs Per Grass of Feces, FAMACHA and Body Condition Score of the analyzed animals and from these measurements makes an indication of treatment for the animals. The indications performed by the system were compared with indications from professionals in the animal health area for measurements of 30 animals, resulting in a high compatibility rate in the responses.
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