Recognition and Classification of Broiler Droppings Based on Deep Convolutional Neural Network
Jintao Wang, Mingxia Shen, Longshen Liu ,Yi Xu, and Cedric Okinda
Livestock production accounts for about 50% of the global agricultural gross domestic product. Additionally, it is the source of livelihood for more than 1.3 million people in developing countries. Due to the ever-growing global population, the global consumption of animal products is projected to increase by 70% by the year 2050 . To sustain the growing demand for animal-based proteins, industrial large-scale livestock keeping was introduced. Currently, over 3535 million animals are reared under extensive and intensive
industrial-scale production systems, with a total annual production of 3029 million tons and 798 million tons of meat and milk, respectively . The main limiting factor in largescale livestock production is the occurrence of diseases, which has a disastrous effect on production economy, food safety, and biosecurity .
This study focuses on broilers, which are the main contributor to global white meat production
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