Hong-Ky Dang

Hanoi University of Science and Technology

Papers

Total Citations

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About

Hong-Ky Dang is a leading figure in the integration of artificial intelligence and precision agriculture, with a primary research focus on intelligent robotic systems, soft computing, and deep learning for plant disease detection. Their most notable contribution is the development of an autonomous agricultural robotic detection system for greenhouse tomato leaf diseases, which combines fuzzy control algorithms for navigation with advanced deep learning models for disease classification. This pioneering work, published in 2024 and already garnering 18 citations, demonstrates the practical application of soft computing techniques to solve real-world agricultural challenges, significantly advancing the field of autonomous intelligent farming. Dang’s research bridges the gap between theoretical AI and deployable agricultural technology, offering scalable solutions for crop monitoring and disease management. Their work is particularly impactful for students and researchers interested in the intersection of robotics, computer vision, and sustainable agriculture, as it provides a clear framework for integrating intelligent systems into greenhouse environments. With a growing citation record and a focus on high-impact, application-driven research, Hong-Ky Dang is establishing themselves as a key innovator in smart farming technology.