Abstract

The poultry farming world-wide face many challenges that adversely affects the production proficiency. Finding the optimal balance humans and the automation efficiency is crucial to obtain a maximum profit. Besides, improving of poultry welfare and production efficiencies necessitate some advanced modern technologies. The application of artificial intelligence (AI) and data-driven systems is regarded as an innovative solution to address many farm management problems. By the integration of AI, the industry has the opportunity to grow in terms of production quantity and poultry care quality with minimal added expense. Types of AI technology in poultry farms include machine learning techniques and robots. The machine learning technique decreases the need for big labeled data for training and helps in the transfer of knowledge, fast training, and better generalization on new tasks to enhance the performance parameters. This technique has different approaches such as Support Vector Machine, Single Shot MultiBox Detector, and Convolutional Neural Network that have a potential to reduce the labor and time and offer promising solutions for the rapid warning and accurate identification and differentiation of problems associated with poultry health. Moreover, innovative robots have been applied in poultry farms for monitoring, management, and environmental control as well as exploring of social dynamics. They are used in poultry farms for collections of eggs carcasses and eggs and transportation and slaughtering. Collectively, AI programs could be applied in poultry production for controlling environmental conditions, monitoring some behavioral conditions such as feeding, preventing some diseases, and correction of the hazardous usage of antibiotics with combating the increased incidence of antimicrobial resistance, and finally aiding in the rapid treatment. Therefore, this review highlights the types of AI models and their potential applications in poultry production.