Abstract:
Nowadays poultry is the best production of animal protein. With the amazing food
diversity of Bangladesh, poultry chicken has a great impact on our daily life. But some
major diseases are hampering this industry frequently. Bangladesh is agricultural country
with a huge diversity of agricultural aspects. Poultry Industry is one of the major aspects
among all the other agricultural field. So, prediction of poultry disease could be great way
to improve the whole production of this industry. Serpentine illness such as infected
bursal disease is more prevalent followed by colibacillosis, Newcastle disease,
salmonellosis, chronic breathing disease, Avian Influenza, coccidiosis, aspergillosis,
omphalitis, fowl pox, nutritional deficiency. Machine learning can be a useful health care
way and also poultry disease precaution and detection. In advanced computer science
diseases like Avian Influenza, Newcastle Disease are harmful to chicken. In order to
prevent harmful consequences, it is important to concentrate about poultry infection on
our very initial stage. We use a few qualities to evaluate our analysis regarding poultry
illness and this attribute is one of the key items of the following disease. Perhaps we
implement eleven machine classifiers to measure analysis by employing the following
technologies, Logistic Regression Classifier, Naive Bayes Classifier, Multilayer
Classifier, Stochastic Gradient Classifier, r Random Forest classifier, Bagging Classifier,
Decision Tree Classifier, K Nearest Neighbor Classifier, XGB Classifier, AdaBoost
Classifier & Gradient Boosting Classifier. The method we employed here gives maximum
precision. Decision Tree Classifier has the best outcome yet.
