Yan Chiew Wong

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Yan Chiew Wong is a researcher whose work bridges artificial intelligence, robotics, and agricultural technology. Her primary research areas include deep learning for precision agriculture, wireless sensing and localization, and autonomous robotic systems. Wong’s most significant contribution is in the application of deep learning for disease detection in solanaceous crops—such as tomatoes and potatoes—using robot vision. Her 2022 paper on this topic, which has garnered 20 citations, addresses the critical challenge of automating crop health monitoring. By enabling robots to identify diseases and nutrient deficiencies early, her work reduces reliance on manual inspection and helps farmers optimize the use of fertilizers and pesticides, promoting more sustainable agriculture. Additionally, Wong has explored trajectory mapping through channel state information, developing a triangulation method for precise localization in smart environments and robotics. Though a newer contribution with 1 citation, this work highlights her versatility in tackling complex sensing problems. Wong’s research is notable for its practical impact on agricultural efficiency and its potential to transform how farmers manage crop health, making her a promising voice in the intersection of AI and sustainable farming.