Don Kulasiri
Papers
2
Total Citations
12
H-Index
2
About
Don Kulasiri is a researcher whose work sits at the compelling intersection of artificial intelligence, animal health, and agricultural systems. His most notable contributions focus on the application of deep learning and neural network methodologies to detect and diagnose dairy cattle mastitis — one of the most economically devastating diseases in the global dairy industry. Kulasiri's research has directly addressed the significant financial burden mastitis places on producers, particularly in New Zealand, where the disease costs the dairy sector nearly $280 million annually. His 2019 study on modelling milking features using deep neural networks represents a particularly innovative approach, leveraging machine learning to identify disease indicators that might otherwise go undetected until significant damage is done. This work, alongside his 2017 comparative analysis drawing on both Netherlands and New Zealand perspectives, demonstrates a commitment to internationally relevant, practically applicable research solutions. By bridging computational intelligence with livestock management, Kulasiri has contributed meaningfully to the growing field of precision agriculture. His research offers dairy farmers and veterinary practitioners smarter, data-driven tools for early disease intervention, ultimately supporting animal welfare and improving industry sustainability across different farming contexts worldwide.
Research Focus
Key Achievements
Top Papers
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