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About

Matti Pastell is a Finnish researcher whose work sits at the intersection of precision agriculture, animal welfare technology, and agricultural robotics. Best known for pioneering sensor-based systems to monitor dairy cow health, Pastell has made transformative contributions to automated livestock management, particularly in the early detection of lameness — a painful and economically costly condition affecting dairy herds worldwide. His development of force sensor platforms integrated into milking robots, combined with probabilistic neural network models and statistical process control techniques such as CUSUM charts, established robust, non-intrusive methods for continuous health monitoring that have since influenced commercial farming systems globally. His most-cited work, "Smart Animal Agriculture" (2018, 319 citations), frames these contributions within a broader vision of sensor-driven, data-rich farming capable of meeting rising global food demand. More recently, Pastell has expanded his research into low-cost Bluetooth-based indoor cow localization and CNN-powered computer vision for strawberry harvesting robots, demonstrating a versatile command of emerging technologies across agricultural domains. With a body of work accumulating hundreds of citations, Pastell remains a leading voice in the automation of sustainable, welfare-conscious food production systems.