Back to Search
Start Over
Machine Learning paradigms for Weed Mapping via Unmanned Aerial Vehicles
- Source :
- Digital.CSIC. Repositorio Institucional del CSIC, instname, SSCI, Brújula, Universidad Loyola Andalucía
- Publication Year :
- 2016
-
Abstract
- Trabajo presentado en el IEEE Symposium Series on Computational Intelligence (SSCI 2016), celebrado en Atenas del 6 al 9 de diciembre de 2016.
- Subjects :
- Pixel
Computer science
business.industry
0211 other engineering and technologies
02 engineering and technology
Machine learning
computer.software_genre
Weed control
Field (computer science)
Similitude
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Precision agriculture
Artificial intelligence
Weed
business
computer
Row
Subplot
021101 geological & geomatics engineering
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Digital.CSIC. Repositorio Institucional del CSIC, instname, SSCI, Brújula, Universidad Loyola Andalucía
- Accession number :
- edsair.doi.dedup.....69e690b99a1a7b991321480e13e230a0