Flower Symptom Recognition
Flower Symptom Recognition is a computational framework in the field of plant phenotyping that enables the automated identification and classification of physiological and pathological symptoms in flowers through image-based analysis.
22
Publications
1.7K
Citations
94
Authors
46
Institutions
Publications per year
2017–2026
18
Parents
22
Apple flower detection using deep convolutional networks
Philipe Dias, Amy Tabb, Henry Medeiros · Computers in Industry · 2018 · 254 citations · Full text
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UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations, France
1 publications · 20 citations
1
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1
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1
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1
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1–5 of 94
46
Northwest A&F University
Yangling, China
2 h-index
10 publications
2.6K citations
Ministry of Agriculture and Rural Affairs
Beijing, China
2 h-index
10 publications
2.6K citations

Addis Ababa University
Addis Ababa, Ethiopia
1 h-index
1 publications
10 citations

Marquette University
Milwaukee, United States
1 h-index
2 publications
508 citations
Arba Minch University
Arba Minch, Ethiopia
1 h-index
2 publications
20 citations
Shahid Beheshti University
Tehran, Iran
1 h-index
1 publications
13 citations
Gobierno de La Rioja
Logroño, Spain
1 h-index
4 publications
320 citations
Instituto de Ciencias de la Vid y del Vino
Logroño, Spain
1 h-index
4 publications
320 citations
1–8 of 46
6 publications · 775 citations
6
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2 publications · 164 citations
2
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1 publications · 31 citations
1
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1 publications · 20 citations
1
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1 publications · 86 citations
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