Synopsis of recent research by authors named "Qiling Liao"
- Qiling Liao's recent research focuses on predicting the accumulation of heavy metals in rice crops using machine learning techniques, emphasizing the environmental risks associated with metal bioaccumulation in agriculture.
- The study involved extensive fieldwork in Jiangsu province, China, collecting over 2000 soil-rice sample pairs to develop accurate models for predicting the uptake of harmful metals like cadmium (Cd), mercury (Hg), arsenic (As), and lead (Pb) in rice grains.
- By employing 10 different machine learning algorithms, the research aims to identify key influencing factors and improve pollution risk mapping, contributing significantly to food safety and environmental health.
