Optimizing biochar for carbon sequestration: a synergistic approach using machine learning and natural language processing
1Agronomy College, Shenyang Agricultural University, 110866, Shenyang, China
2School of Environment and Chemical Engineering, Foshan University, 528000, Foshan, China
3State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, 315211, Ningbo, China
4Key Laboratory of Recycling and Eco-Treatment of Waste Biomass of Zhejiang Province, School of Environment and Natural Resources, Zhejiang University of Science & Technology, 310023, Hangzhou, China
5School of Environmental Science and Engineering, Guangzhou University, 510006, Guangzhou, China
6School of Electronic Information Engineering, Foshan University, 528000, Foshan, China
7NSW Department of Primary Industries, Wollongbar Primary Industries Institute, 1243 Bruxner Highway, 2477, Wollongbar, NSW, Australia
8Yancao Production Technology Center, Bijie Yancao Company of Guizhou Province, 551700, Bijie, China
9Norwegian Geotechnical Institute (NGI), 0484, Oslo, Norway
10Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), 1430, Ås, Norway
11Guangdong Provincial Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, 510650, Guangzhou, China
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