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What the Poultry Industry Uses Artificial Intelligence for

Food and Beverages | Friday, December 31, 2021

Aside from people, technology has also improved the lives of animals. Thanks to technology, humans can run the poultry industry 24 hours a day, correctly measure the resources, and keep the animals comfortable.

FREMONT, CA: In today's IT-driven world, gadgets and electronic devices have become an integral part of daily lives. Technology enables people to carry out routine tasks efficiently and with ease. In this era, people all carry a miniature computer (smartphone) in their pockets, connecting and the internet, which provides them with abundant options and information. Modern technologies, such as artificial intelligence (AI), robots, sensor devices, drones, augmented reality, the internet of things (IoT), and mobile apps can be used to conduct smart livestock farming/precision farming. Artificial intelligence (AI) refers to a computer's ability to perform tasks humans usually perform and require human intelligence and discernment. In a nutshell, AI is the science of a computer imitating human abilities.

Poultry producers face several significant challenges associated with such industry-level production, including pressure on production costs, animal welfare, a shortage of skilled and trained labor, escalating antimicrobial resistance, and environmental impact. AI may aid in resolving several current poultry industry challenges. At the same time, most farms continue to collect data manually and then have it processed by computers. By 2050, it is estimated that a poultry farm will generate 4.1 million data points via various sensors and other connected devices. Using AI-based technologies to collect data automatically and accurately in real-time enables in-depth analysis, enabling us to take immediate action to optimize the farm's production performance. AI can learn both supervised and unsupervised from data. Supervised learning trains the AI on pre-existing data sets restricted to specific governed tasks. For instance, estimating the expected body weight of a particular broiler line under local conditions. Unsupervised learning allows for the categorization of data and the detection of trends without the need for specific programming. By utilizing cloud-based resources, massive amounts of data can be analyzed to provide advance notice of a particular outcome. Big data and data mining would be the most resourceful tools available to poultry farmers to maximize the return on their investment. Few ICT companies are focusing on forecasting performance based on real-time records and data collection; this will assist farmers in making informed decisions about farm production optimization. In hi-tech farms, various sensors were used to monitor bird weight, temperature, feed and water consumption, humidity, ammonia levels, CO2 levels, and various other parameters. Computer-supervised machinery and robotics can significantly reduce human interaction with farm birds, thereby reducing the source of infection and increasing the amount of productive work done compared to a human counterpart. Through AI, the error rate can be reduced to a negligible level. The system can operate 24 hours a day, seven days a week, increasing farming efficiency and maximizing farm profit. AI can transform conventional industrial farming into smart or AI-assisted poultry farming.

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