Soil Sensor Signal Processing is a specialized field of signal processing that involves the analysis, transformation, and interpretation of raw signals acquired from soil sensors to extract meaningful biophysical and chemical soil properties, distinguishing it from general signal processing by its focus on soil-specific measurement conditions, noise characteristics, and target variables.
249
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13.2K
Citations
945
Authors
345
Institutions
Publications per year
2017–2026
90
Parents
Publications
249
1–5 of 249
Authors
945
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1–5 of 945
Institutions
345
Chinese Academy of Sciences
Beijing, China
7 h-index
10 publications
779 citations
Agricultural Research Service
Washington, United States
7 h-index
11 publications
1.9K citations
Goddard Space Flight Center
Greenbelt, United States
7 h-index
26 publications
2.5K citations
National Research Council
Rome, Italy
6 h-index
19 publications
1.4K citations
Iowa State University
Ames, United States
6 h-index
9 publications
296 citations
China Agricultural University
Beijing, China
6 h-index
15 publications
524 citations
Cranfield University
Cranfield, United Kingdom
5 h-index
12 publications
353 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
7 publications
1.1K citations
1–8 of 345
Venues
- Computers and Electronics in Agriculture
13 publications · 1.6K citations
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- Geoderma
12 publications · 482 citations
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- Sensors
10 publications · 416 citations
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- Remote Sensing of Environment
9 publications · 1.6K citations
9
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- Transactions of the ASAE
8 publications · 328 citations
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