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About

Dr. Liling Yang is a leading researcher at the intersection of artificial intelligence and precision agriculture, with a primary focus on advancing smart horticulture through deep learning. Her work centers on the automated detection, localization, and classification of apples to optimize harvesting decisions and reduce post-harvest losses. Dr. Yang’s major contributions include developing time series classification models for growth prediction and creating comprehensive image processing frameworks that distinguish between apple varieties, assess fruit health, and identify rotten produce—addressing persistent challenges in automated agricultural systems. Her highly cited 2024 review on image processing and AI for apple detection has garnered 24 citations, while her deep learning-based growth prediction study has accumulated 27 citations, reflecting significant impact in the field. Dr. Yang has also contributed to research on assisted pollination technology, broadening her expertise in sustainable fruit production. Her work is instrumental in bridging the gap between computer vision and practical farming, offering scalable solutions that enhance food quality and supply chain efficiency.