Ensuring sustainable growth in Indian poultry industry through usage of artificial intelligence (AI) tools

According to industry estimates, the sector is projected to grow at a compound annual growth rate (CAGR) of 8.10% over the next decade. This growth is propelled by factors such as rising demand for protein products, urbanization, and increased consumption of poultry products.

The shift from the traditional diet, which earlier relied on pulses consumption, to food products such as meat, eggs, and dairy products to meet the protein requirements significantly boosted the Indian poultry industry growth.

Poultry products are often more affordable than other protein sources, making them accessible to a broader segment of the population.

At present:

• India is the second largest producer of eggs in the world and the fourth largest producer of poultry meat in the world.
• Total annual broilers placement in India is approximately 5.5 billion.
• Total layer placement in India is close to 300 million annually.
• Broiler breeder placement is 55 million annually and layer breeder placement is 22 million.
• The poultry feed production is 28 million tons.
• The annual per capita consumption of eggs in India at present is 103 eggs, while poultry meat consumption is 7.4kg.
• The sector employs an estimated 6 million people directly or indirectly in poultry industry.
• The Indian poultry equipment sector is estimated around USD 180 million, and the poultry feed additives and medicine sector is estimated around USD 700 million.

The poultry sector is supported by factors including conducive climatic conditions, reasonable labor costs, and the government initiatives such as the national livestock mission and Animal Husbandry Infrastructure Development Fund aimed at enhancing infrastructure and biosecurity.

Rising role of AI in poultry industry

The growing importance of artificial intelligence (AI) in the poultry industry has increased in recent years.

AI is gradually being used in several complex operations in a poultry farm including feeding, water, sanitization, disease management through early warning and overall management of birds.

As the Indian poultry industry leaps into a new phase of its growth, sustainable growth of the industry assumes paramount importance.

AI driven tools help optimum utilization of water, feed, and energy in a poultry farm. Tools such as machine learning, deep learning, and reinforcement learning are currently offering new opportunities for addressing complex challenges in poultry farming and are providing new insights into animal behavior, health, and productivity.

Key areas of applications

✅ Data analytics

AI algorithms or tools analyze vast amounts of data collected from poultry farms, including environmental conditions inside the farm, volume of feed consumption, indicators of bird health, and production matrix.

These AI tools using these data can predict trends, detect anomalies, and optimize various aspects of the production system for ensuring efficiency and boosting farmer’s income.

AI’s benefits also extend to post-harvest activities for broiler chickens and egg collection. By analyzing bird movement patterns and behavior, the algorithms can identify areas of congestion or stress and suggest layout modifications to improve living conditions.

✅ Real time monitoring management

AI-powered systems can monitor poultry houses in real-time using sensors to track parameters such as temperature, humidity, air quality and water consumption.

This real time monitoring helps identify factors such as ventilation or air circulation in a poultry farm, disease outbreaks, which lead to healthy birds and growth.

AI-driven ventilation systems can adjust airflow rates and temperature settings based on real-time data, ensuring optimal conditions for bird comfort and their health.

✅ Feed management

AI tools help optimize feed formulations based on factors like bird age, weight, health status, and nutritional requirements.

By precisely adjusting feed compositions, these tools help maximize growth rates of birds, minimize feed wastage, and reduce feed costs, which accounts for 60-65% of production costs.

AI-enabled feeders automatically adjust the feeding schedule and quantity based on real-time data, ensuring that layer and broiler birds receive the optimum feed based on their nutritional needs.

✅ Disease detection and biosecurity

AI systems enable data analysis of bird behavior, physiological indicators, and environmental conditions inside the farm, to detect signs of disease outbreaks early.

This early detection of bird flu and other diseases enable prompt intervention measures, such as targeted treatments through following biosecurity protocols, to contain the spread of disease and minimize losses.

AI-driven systems are enhancing biosecurity measures on poultry farms by analyzing data on farm operations and visitor movements. These systems can identify potential biosecurity risks and suggest mitigation measures.

These tools prevent the introduction and spread of diseases like avian influenza, which can have devastating impacts on the poultry sector.

✅ Projection of demand and supply

AI data analytics tools and software are currently available to poultry producers, enabling them to analyze historical data, market trends, and consumer behavior. These tools support poultry farmers to make informed decisions regarding production volumes and timing.

India’s diverse consumption pattern influenced by religious factors can be assessed using AI tools which capture seasonal variations in demand and supply.

The demand forecasting provides poultry businesses with accurate predictions of future demand, enabling them to optimize production schedules and avoid overproduction or underproduction.

By aligning production with anticipated demand, the industry can minimize waste, reduce costs, and ensure efficient utilization of resources while maintaining optimal inventory levels.

✅ Precision breeding and genetics

Through the machine learning method, AI processes genetic information, health records, and environmental data, which helps predict which breeding combinations will produce healthier, more robust chickens. It identifies traits that enhance not only growth but also health and resilience.

AI tools identify genetic markers associated with desirable traits such as growth rate, feed efficiency, disease resistance, and egg production. These applications help breeders make more informed decisions in selecting breeding stock, accelerating the breeding process, and producing poultry with improved traits.

✅ Robotics

AI-powered robots are increasingly being deployed in poultry farms for tasks such as egg collection, cleaning, and disinfection. These robots can work autonomously or under supervision of human support improving efficiency in the poultry unit management.

By automating this labor-intensive process, farmers can increase operational efficiency, minimize egg breakage, and improve overall egg quality. In addition, robotic cleaners equipped with sensors can detect and remove waste material from the poultry units, reducing ammonia levels, and improving air quality for both birds and workers.

Conclusion

• The potential of AI in the Indian poultry industry is immense, as it addresses several challenges faced by the value chain which is aiming to boost production efficiency.
• The integration of machines and robotics as AI tools needs to be adopted at a rapid pace which would ensure sustainable growth of the Indian poultry industry through state-of-the-art supply chain management as it enters the next challenging phase of its growth.
• As demand for poultry meat continues to rise, embracing innovation will be essential for enhancing productivity, ensuring sustainability, and maintaining competitiveness in the market.