In a groundbreaking study published in the journal *智慧农业* (translated to *Smart Agriculture*), researchers from the Agricultural Information Institute at the China Academy of Agricultural Sciences have shed light on the transformative potential of artificial intelligence (AI) in the animal husbandry sector. Led by Dr. Liu Jifang, the research delves into the constraints, generative logic, and promotion paths of AI-driven high-quality development in animal husbandry, offering a roadmap for the industry’s future.
The study highlights that the new-quality productivity in animal husbandry is characterized by higher production efficiency, better industrial benefits, and stronger sustainable development capabilities. This is a significant shift from traditional productivity, driven by technological innovations in biotechnology, information technology, and green technology. “The new-quality productivity is not just about adopting new technologies; it’s about integrating these technologies into the very fabric of the industry,” explains Dr. Liu.
One of the key findings of the research is the identification of several restraining factors currently hindering the progress of new-quality productivity in animal husbandry. These include insufficient innovation in breeding technology, weak core competitiveness, low mechanization rates, and a shortage of skilled talent. Additionally, the study points out the urgent need for “machine replacement” and the limited level of intelligent management in the industry.
The research also explores the generative logic of AI in animal husbandry, emphasizing its wide-ranging applications in environmental control, precision feeding, health monitoring, disease prevention, and supply chain optimization. “AI is not just a tool; it’s a catalyst that can revolutionize the entire industry,” says Dr. Liu. By enabling innovative allocation of productivity factors and adapting to the digital economy, AI can empower the high-quality development of animal husbandry.
The study proposes several promotion paths to overcome these challenges and foster the development of new-quality productivity. These include improving the institutional mechanism to support modern animal husbandry, strengthening the application of AI in technology innovation and promotion, and enhancing the management level across the entire industry chain.
The implications of this research are profound for the energy sector, particularly in terms of optimizing resource use and reducing environmental impact. As the global demand for sustainable and efficient agricultural practices grows, the integration of AI in animal husbandry could pave the way for significant commercial opportunities. By addressing the identified constraints and leveraging the generative logic of AI, the industry can achieve high-quality development and contribute to a more sustainable future.
This study, published in *智慧农业*, serves as a crucial stepping stone in understanding the role of AI in the future of animal husbandry. As Dr. Liu and his team continue to explore this dynamic intersection of technology and agriculture, the potential for innovation and growth in the sector becomes increasingly evident. The research not only highlights the current challenges but also offers a clear path forward, making it a vital resource for professionals and stakeholders in the field.