Work

Achieving high-quality and safe compost: a study on multi-optimization of a non-linear system using machine learning

Year: 2026

Type: article

Source: Bioresource Technology

DOI: 10.1016/j.biortech.2026.135003

Authors: Yuchang Shi, Muhammad Fahad Sardar, Longmei Qiu, Binxu Li, Muhammad Zia-ur-Rehman, Yukun Xue, Xu Zhang, Wuyang Zhao, Hongna Li

Institutions: Chinese Academy of Agricultural Sciences, Institute of Environment and Sustainable Development in Agriculture, University of Agriculture Faisalabad, Wageningen University & Research

Language: English

Topic: Composting and Vermicomposting Techniques

Subfield: Soil Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Responsible consumption and production, Zero hunger

Open Access status: green

Funders: Key Research and Development Program of Ningxia, National Key Research and Development Program of China, Agricultural Science and Technology Innovation Program, Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences

Awards: G2683646843, G3272986339, G3971368070, G4456088322, G5638047079

OpenAlex ID: W7162779608

FWCI:

Cites: 52

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