Corinne Bromfield

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About

Corinne Bromfield is a researcher at the forefront of precision livestock farming, specializing in the application of robotics, computer vision, and artificial intelligence to swine reproductive management. Her work focuses on automating the critical but labor-intensive process of estrus detection in sows, aiming to improve both animal welfare and farm productivity. Bromfield’s major contributions include developing a robotic imaging system that can automatically identify posture changes in stall-housed sows around estrus, a key behavioral indicator. She further advanced this by creating an automated detection method that replaces the conventional, manual back-pressure test, achieving notable accuracy. Her most cited paper (7 citations) on posture identification laid the groundwork, while her 2024 study on automated oestrous detection (5 citations) directly addresses a core challenge in swine production. Most recently, Bromfield has pioneered a novel pipeline that combines LiDAR imagery with deep learning to quantify sow vulva swelling, a precise biological sign of estrus. This innovative work, though early in its citation impact (2 citations), represents a significant step toward fully automated, non-invasive estrus detection, promising to optimize reproductive performance and reduce labor demands in the swine industry.