Predicting leaf nitrogen content in wolfberry trees by hyperspectral transformation and machine learning for precision agriculture

• Yongmei Li,

  Roles Writing – original draft

  Affiliations School of Civil and Hydraulic Engineering, NingXia university, Yinchuan, Ningxia, People’s Republic of China, Institute of Agricultural Economy and Information Technology, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, Ningxia, People’s Republic of China

  https://orcid.org/0000-0002-0028-5363

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• Hao Wang ,

  Roles Supervision

  * E-mail: wanghao@iwhr.com (HW); zhaohl@iwhr.com (HZ)

  Affiliations School of Civil and Hydraulic Engineering, NingXia university, Yinchuan, Ningxia, People’s Republic of China, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing, People’s Republic of China, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing, People’s Republic of China

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• Hongli Zhao ,

  Roles Writing – review & editing

  * E-mail: wanghao@iwhr.com (HW); zhaohl@iwhr.com (HZ)

  Affiliation Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing, People’s Republic of China

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• Ligen Zhang

  Roles Data curation

  Affiliation Ningxia Academy of building Research Co., Ltd, Yinchuan, Ningxia, People’s Republic of China

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