Naishen Dong

Papers

Total Citations

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About

Dr. Naishen Dong is a leading researcher in precision agriculture and computer vision, with a focused expertise in deep learning-based object detection for horticultural applications. His most significant contribution is the development of STRAW-YOLO, a pioneering detection method specifically designed for identifying strawberry fruit targets and their key points. This work, published in 2025 and already garnering 38 citations, addresses a critical challenge in automated harvesting and yield estimation by enabling precise, real-time localization of individual fruits and their structural features. Dr. Dong’s approach integrates advanced YOLO architectures with tailored modifications for small, occluded, and clustered targets, significantly improving detection accuracy in complex field environments. His research directly supports the advancement of smart farming technologies, reducing labor costs and enhancing crop management efficiency. With a growing citation impact that underscores the practical relevance of his work, Dr. Dong is establishing himself as a key innovator at the intersection of artificial intelligence and sustainable agriculture, paving the way for more autonomous and data-driven farming systems.