Machine Learning Algorithm for Poultry Chickens Coccidiosis Disease Detection
摘要
The poultry industry is a significant and prominent business sector. As the daily intake of chicken meat and eggs is rising globally, poultry farming is gaining significance for providing protein. Additionally, this industry raises the nation’s revenue despite being a less expensive protein source. Numerous diseases that harm the chickens are the main issue affecting the poultry business. Due to the high cost of vaccinations, poultry owners are unable to adopt these expensive methods. Consequently, this strategy cannot be used because it requires continuous investment. This paper aims to present one of the prevalent chicken diseases, coccidiosis and the different detection techniques used. In this regard, the study introduces multiple strategies that can be used in tandem to identify coccidiosis-affected fowl hens automatically. The idea behind studying chicken activity monitoring is that it directly connects to the health condition of the chicken. The enhanced future research could result in a system to monitor chicken activity and detect coccidiosis among them.