Ans Qureshi

Papers

Total Citations

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About

Ans Qureshi is a robotics researcher focused on transforming specialty crop production through intelligent automation. His primary research areas span agricultural robotics, precision horticulture, and end-effector design, with a particular emphasis on automating the skilled, seasonal task of apple fruitlet thinning—a critical process for cultivating high-quality apples in New Zealand’s strong commercial orchard industry. Qureshi’s major contributions include developing a novel multipurpose robotic end effector that combines vacuum suction, rotation capabilities, and modular design to perform both thinning and harvesting tasks, as well as creating the "Archie Snr" robotic platform capable of autonomously mapping fruitlet clusters across tree branches for per-tree crop load management. His work addresses the pressing labor shortage in New Zealand’s apple industry by enabling precise, data-driven thinning decisions. With papers accumulating citations in the single digits (5, 3, and 2 respectively), his research is still emerging but demonstrates clear potential to impact agricultural robotics. Notably, his 2023 work on robotically mapping apple fruitlets in commercial orchards and his 2024 development of the multipurpose end effector represent foundational steps toward fully autonomous orchard management systems.