PAID ACCESS | Published on : 20-Jan-2026 | Pages: 11-20 | Doi : 10.37446/edibook202024/11-20
Autonomous feeding systems are revolutionizing animal husbandry by enhancing precision, efficiency, and sustainability in livestock nutrition. These systems utilize advanced technologies such as artificial intelligence (AI), Internet of Things (IoT), robotics, and data analytics to automate feed distribution, monitor animal consumption patterns, and optimize nutritional intake. By delivering precise feed portions tailored to individual animal needs, autonomous systems minimize feed wastage, improve growth performance, and enhance overall animal health. Real-time monitoring through smart sensors and machine learning algorithms enables early detection of health issues and dietary deficiencies, allowing timely interventions. Automated feeders integrated with robotic systems ensure consistent feed delivery, reducing labour costs and improving operational efficiency. Additionally, these systems contribute to environmental sustainability by reducing excess nutrient excretion and optimizing resource utilization. The adoption of autonomous feeding technology is particularly beneficial in poultry, dairy, and swine farming, where feed efficiency directly impacts production economics. Innovations such as radio frequency identification (RFID)-based individual animal tracking, automated silage dispensers, and adaptive feeding programs further enhance precision livestock farming. However, challenges such as high initial investment, technical expertise requirements, and data security concerns remain. As advancements continue, integrating autonomous feeding with block-chain and cloud-based platforms will further improve traceability and transparency in livestock nutrition. The future of animal husbandry lies in fully automated, intelligent feeding systems that promote sustainable production, ensure animal welfare, and maximize profitability. This shift towards precision feeding represents a transformative step in modern livestock management, paving the way for more efficient and ethical farming practices.Induced plant volatile, nectar food management, landscape for conservation of natural enemy and use of ecological engineering technique is predominant to manage insect pest problems of crop. The application of habitat manipulations are very common practices for management insect pests in rice, pulses, oilseed and fruit crops by most of the progressive growers in western countries.
Artificial intelligence, Autonomous Feeding System, Internet of Things, Machine Learning, Robotics, Sensors
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