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About

Kale Black is a robotics researcher at the forefront of agricultural automation, dedicated to solving critical labor shortages in New Zealand’s horticultural industries. His work focuses on developing intelligent robotic systems for skilled, seasonal tasks, with key contributions in autonomous cane pruning for wine grapes and precision fruitlet thinning for apples. Black’s research integrates advanced computer vision, robotic manipulation, and machine learning to create platforms that can perceive and interact with complex, unstructured orchard environments. His most cited work, "Modelling wine grapevines for autonomous robotic cane pruning" (2023, 31 citations), addresses the challenge of training robots to make quality pruning decisions, a task that traditionally requires expert human judgment. He has since developed "Archie Snr," a robotic platform for autonomous apple fruitlet thinning (2024), which builds on his earlier mapping work ("Seeing the Fruit for the Leaves," 2023). By enabling accurate, per-tree crop load measurement and selective thinning, Black’s research promises to enhance fruit quality and reduce reliance on seasonal labor, making a tangible impact on New Zealand’s multi-billion-dollar horticulture sector.