Prediction and risk assessment of five heavy metals in maize and peanut: A case study of Guangxi, China

Constraint on selenium bioavailability caused by its geochemical behavior in typical Kaschin–Beck disease areas in Aba, Sichuan Province of China

Zinc concentration prediction in rice grain using back-propagation neural network based on soil properties and safe utilization of paddy soil: A large-scale field study in Guangxi, China

Application of ecogeochemical prediction model to safely exploit seleniferous soil

Using machine learning to predict selenium and cadmium contents in rice grains from black shale-distributed farmland area

Analysis of phosphorus and sulfur effect on soil selenium bioavailability based on diffusive gradients in thin films technique and sequential extraction