Soil Nitrogen Sensing Algorithms
Soil Nitrogen Sensing Algorithms is a computational method designed to estimate and interpret soil nitrogen content from sensor data by applying signal processing and machine learning techniques specific to environmental and agronomic conditions.
48
Publications
2.9K
Citations
237
Authors
86
Institutions
Publications per year
2017–2026
40
Parents
48
Tao Zhou, Yajun Geng, Jie Chen et al. · The Science of The Total Environment · 2020 · 266 citations
Rice nitrogen nutrition estimation with RGB images and machine learning methods
Peihua Shi, Yuan Wang, Jianmin Xu et al. · Computers and Electronics in Agriculture · 2020 · 105 citations
Agriculture, Agronomy, Crop Sciences +16
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86

Chinese Academy of Sciences
Beijing, China
8 h-index
25 publications
965 citations

Zhejiang University
Hangzhou, China
7 h-index
21 publications
622 citations
Ministry of Agriculture and Rural Affairs
Beijing, China
7 h-index
31 publications
1.3K citations
State Key Laboratory of Modern Optical Instruments
Hangzhou, China
3 h-index
3 publications
113 citations
China Agricultural University
Beijing, China
3 h-index
17 publications
435 citations
Nanjing Agricultural University
Nanjing, China
3 h-index
13 publications
941 citations

Zhejiang University of Technology
Hangzhou, China
2 h-index
4 publications
152 citations

Helmholtz Centre for Environmental Research
Leipzig, Germany
2 h-index
5 publications
850 citations
1–8 of 86
8 publications · 426 citations
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5 publications · 235 citations
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2 publications · 80 citations
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2 publications · 40 citations
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2 publications · 104 citations
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