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A novel framework for improving soil organic matter prediction accuracy in cropland by integrating soil, vegetation and human activity information.
Wang, Jiawen; Feng, Chunhui; Hu, Bifeng; Chen, Songchao; Hong, Yongsheng; Arrouays, Dominique; Peng, Jie; Shi, Zhou.
Affiliation
  • Wang J; College of Agriculture, Tarim University, Alar 843300, China; College of Life Sciences and Technology, Tarim University, Alar 843300, China.
  • Feng C; College of Horticulture and Forestry, Tarim University, Alar 843300, China. Electronic address: chunhui.f@taru.edu.cn.
  • Hu B; Department of Land Resource Management, School of Tourism and Urban Management, Jiangxi University of Finance and Economics, Nanchang 330013, China. Electronic address: hubifeng@zju.edu.cn.
  • Chen S; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China. Electronic address: chensongchao@zju.edu.cn.
  • Hong Y; Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China. Electronic address: hys@whu.edu.cn.
  • Arrouays D; INRAE, Info&Sols, 45075 Orléans, France. Electronic address: Dominique.arrouays@inrae.fr.
  • Peng J; College of Agriculture, Tarim University, Alar 843300, China; Key Laboratory of Genetic Improvement and Efficient Production for Specialty Crops in Arid Southern Xinjiang of Xinjiang Corps, Alar 843300, China; Research Center of Oasis Agricultural Resources and Environment in Southern Xinjiang, Tari
  • Shi Z; Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China. Electronic address: shizhou@zju.edu.cn.
Sci Total Environ ; 903: 166112, 2023 Dec 10.
Article in En | MEDLINE | ID: mdl-37567300
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Total Environ Year: 2023 Document type: Article Affiliation country: China Country of publication: Netherlands
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Total Environ Year: 2023 Document type: Article Affiliation country: China Country of publication: Netherlands