CHEDI: chicken disease identification using image processing

Abstract

Chicken disease can affect poultry farmers and the agricultural industry in many ways, from severe acute infections with rapid and high mortality to moderate disorders. Left untreated, it can cause widespread chicken disease and death in poultry. A quick and profitable solution must be provided, given that chicken deaths might result in significant economic losses due to the decreased quality of chickens in agricultural products. Therefore, in this paper, implementing image processing has been used to utilize a mobile application that detects external diseases in chicken feet. The application creates a trained model using a neural network architecture using the dataset it has collected depending on the disease in the input image when the condition is recognized at the output for that image, together with the suggested therapy, to increase the accuracy and reliability of the findings.