Phenotyping Sensor Fusion
Phenotyping Sensor Fusion is a methodological framework that integrates multisensory data from diverse phenotyping platforms to enhance the accuracy, resolution, and comprehensiveness of crop phenotypic trait measurement through complementary and synergistic information extraction.
7
Publications
770
Citations
49
Authors
22
Institutions
Publications per year
2017–2026
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Maitiniyazi Maimaitijiang, Abduwasit Ghulam, Paheding Sidike et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2017 · 390 citations
Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS
Wenan Yuan, Jiating Li, Madhav Bhatta et al. · Sensors · 2018 · 124 citations · Full text
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University of Missouri
Columbia, United States
1 h-index
2 publications
780 citations

University of Basel
Basel, Switzerland
1 h-index
2 publications
44 citations

Huazhong Agricultural University
Wuhan, China
1 h-index
1 publications
27 citations
Centro di Ricerca per l’Orticoltura
Pontecagnano, Italy
1 h-index
3 publications
141 citations
Missouri University of Science and Technology
Rolla, United States
1 h-index
1 publications
390 citations

University of West Florida
Pensacola, United States
1 h-index
3 publications
333 citations

South China Agricultural University
Guangzhou, China
1 h-index
3 publications
81 citations
State Education and Research Institute for Viticulture and Pomology Weinsberg
Weinsberg, Germany
1 h-index
1 publications
22 citations
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2 publications · 151 citations
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1 publications · 22 citations
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1 publications · 47 citations
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1 publications · 49 citations
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1 publications · 390 citations
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