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Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions

PaperCitations, authors & open-access status

Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 82 citations, 2020 year and closed oa status.

82
Citations
2020
Year
closed
OA Status

Related on ScholarIQ

Inés Hernández
Author
Computers and Electronics in Agriculture
Journal
Horticultural and Viticultural Research
Topic
Horticultural and Viticultural Research
Topic
Smart Agriculture and AI
Topic
Remote Sensing in Agriculture
Topic
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