Cross-sensor Harmonization
Cross-Sensor Harmonization is a data preprocessing technique that standardizes yield measurements across heterogeneous sensing systems by correcting for sensor-specific biases and scale differences to enable consistent and comparable agricultural yield data interpretation.
7
Publications
298
Citations
34
Authors
22
Institutions
Publications per year
2017–2026
5
Parents
7
SSBC 2018: Sclera Segmentation Benchmarking Competition
Abhijit Das, Umapada Pal, Miguel A. Ferrer et al. · 2018 · 34 citations
1–5 of 7
34
1
h-index
1
h-index
1
h-index
Iranian National Institute for Oceanography and Atmospheric Science, Iran
1 publications · 13 citations
1
h-index
1
h-index
1–5 of 34
22

Universidade do Porto
Porto, Portugal
1 h-index
2 publications
26 citations
University of Maryland, College Park
College Park, United States
1 h-index
3 publications
72 citations
University of Technology Sydney
Sydney, Australia
1 h-index
2 publications
68 citations

Aichi Prefectural University
Nagoya, Japan
1 h-index
1 publications
102 citations

Indian Statistical Institute
Kolkata, India
1 h-index
1 publications
34 citations

University of Minnesota
Minneapolis, United States
1 h-index
2 publications
194 citations
United States Geological Survey
Reston, United States
1 h-index
1 publications
24 citations

The University of Queensland
Brisbane, Australia
1 h-index
1 publications
13 citations
1–8 of 22
3 publications · 223 citations
3
h-index
1 publications · 13 citations
1
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1 publications · 15 citations
1
h-index
1–3