Published in Scientific Papers. Series D. Animal Science, Vol. LXVIII, Issue 2
Written by Dana POPA, Răzvan POPA, Livia VIDU, Monica MARIN, Elena POGURSCHI, Laura FRICOSU, Marius VOCHIN, Alexandru VULPE
Livestock farming is a vital component of global food production, supplying essential resources such as meat and dairy. However, it is also a major contributor to environmental challenges, particularly greenhouse gas (GHG) and atmospheric pollutant emissions. The beef cattle sector is responsible for significant methane (CH₄) and nitrous oxide (N₂O) emissions due to enteric fermentation and manure management. Additionally, inefficient resource utilization and suboptimal farm practices exacerbate environmental degradation and economic losses. As global demand for livestock products grows, there is an urgent need to adopt sustainable farming practices that optimize production while minimizing ecological impact. We propose an innovative approach to sustainable livestock farming by integrating Internet of Things (IoT), blockchain, and artificial intelligence (AI) technologies. IoT sensors will monitor critical environmental and livestock parameters, The collected data is securely stored and managed using blockchain technology, ensuring transparency, traceability, and stakeholder trust. AI-driven models analyse input data to optimize feeding practices, manure management, and overall farm productivity. These technologies will form the backbone of a decision-support system designed to enable farmers to reduce emissions while improving operational efficiency.
[Read full article] [Citation]
