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Towards Confirmable Automated Plant Cover Determination
- Source :
- Computer Vision – ECCV 2020 Workshops ISBN: 9783030654139, ECCV Workshops (6)
- Publication Year :
- 2020
- Publisher :
- Springer International Publishing, 2020.
-
Abstract
- Changes in plant community composition reflect environmental changes like in land-use and climate. While we have the means to record the changes in composition automatically nowadays, we still lack methods to analyze the generated data masses automatically.
- Subjects :
- 0106 biological sciences
business.industry
Deep learning
Environmental resource management
Plant community
02 engineering and technology
010603 evolutionary biology
01 natural sciences
Abundance (ecology)
0202 electrical engineering, electronic engineering, information engineering
Environmental science
Plant cover
020201 artificial intelligence & image processing
Artificial intelligence
business
Composition (language)
Subjects
Details
- ISBN :
- 978-3-030-65413-9
- ISBNs :
- 9783030654139
- Database :
- OpenAIRE
- Journal :
- Computer Vision – ECCV 2020 Workshops ISBN: 9783030654139, ECCV Workshops (6)
- Accession number :
- edsair.doi...........9abdfcc4f7e7dfd1f6641bb0969889f7