Multitask Deep Learning Enabling a Synergy for Cadmium and Methane Mitigation with Biochar Amendments in Paddy Soils
Mengmeng Yin,
Xin Zhang,
Fangbai Li
et al.
Abstract:Biochar has demonstrated significant promise in addressing heavy metal contamination and methane (CH 4 ) emissions in paddy soils; however, achieving a synergy between these two goals is challenging due to various variables, including the characteristics of biochar and soil properties that influence biochar's performance. Here, we successfully developed an interpretable multitask deep learning (MTDL) model by employing a tensor tracking paradigm to facilitate parameter sharing between two separate data sets, e… Show more
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