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Fei Li

Inner Mongolia Agricultural University

306 Zhaowuda Rd, Saihan Qu

Huhehaote Shi

Neimenggu Zizhiqu, 01000

China

  • Inner Mongolia Agricultural University

SCHOLARLY PAPERS

3

DOWNLOADS

181

TOTAL CITATIONS

2

Scholarly Papers (3)

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1.

Microbial Agents Assisted Aerobic Co-Composting of Sheep Manure and Furfural Residue: Maturation Enhancement and Microbial Dynamic

Downloads 71 (875,328)

Microbial Agents Assisted Aerobic Co-Composting of Sheep Manure and Furfural Residue: Maturation Enhancement and Microbial Dynamic

Number of pages: 39 Posted: 09 Jan 2025
Mao Li, Lingwei Jiang, Fei Li, Xuejun Zhang, Huanjun Zhao and Na Duan
China Agricultural University, China Agricultural University, Inner Mongolia Agricultural University, Ningxia Academy of Agriculture and Forestry Sciences, affiliation not provided to SSRN and China Agricultural University
Downloads 44 (1,157,169)

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Sheep manure, Furfural residue, Bulking agent, Microbial agent, Compost maturity

Microbial Agents Assisted Aerobic Co-Composting of Sheep Manure and Furfural Residue: Maturation Enhancement and Microbial Dynamic

Number of pages: 38 Posted: 30 Jul 2024
Mao Li, Lingwei Jiang, Fei Li, Xuejun Zhang, Huanjun Zhao and Na Duan
China Agricultural University, China Agricultural University, Inner Mongolia Agricultural University, Ningxia Academy of Agriculture and Forestry Sciences, affiliation not provided to SSRN and China Agricultural University
Downloads 27 (1,415,710)

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Sheep manure, Furfural residue, C/N ratio, Microbial agent, Compost maturity

2.

Meta-analysis assessing potential of drone remote sensing in estimating plant traits related to nitrogen use efficiency

Number of pages: 27 Posted: 20 Dec 2023
Jingcheng Zhang, Yuncai Hu, Fei Li, Kadeghe Fue and Kang Yu
Technische Universität München (TUM) - TUM School of Life Sciences Weihenstephan, affiliation not provided to SSRN, Inner Mongolia Agricultural University, Sokoine University of Agriculture and Technische Universität München (TUM)
Downloads 67 (899,324)
Citation 2

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Nutrient use efficiency, Unmanned aerial vehicle (UAV), Meta-analysis, Growth stage, Vegetation indices, Signal process technique, Sensor type

3.

Improving Assessment of Potato Aboveground Biomass Using Texture, Wavelet, and Color Spectral Indices from Uav-Borne Rgb Images

Number of pages: 48 Posted: 22 Aug 2023
Hang Yin, Fei Li, Haibo Yang, Yunfei Di, Yuncai Hu and Kang Yu
Inner Mongolia Agricultural University, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 43 (1,145,425)

Abstract:

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Potato crops, Unmanned Aerial Vehicle (UAV), Feature Selection, Spectral and texture features, Image wavelet features, Biomass prediction