De Castro et al., 2018 - Google Patents
An automatic random forest-OBIA algorithm for early weed mapping between and within crop rows using UAV imageryDe Castro et al., 2018
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- 13599764782517939046
- Author
- De Castro A
- Torres-Sánchez J
- Peña J
- Jiménez-Brenes F
- Csillik O
- López-Granados F
- Publication year
- Publication venue
- Remote Sensing
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Snippet
Accurate and timely detection of weeds between and within crop rows in the early growth stage is considered one of the main challenges in site-specific weed management (SSWM). In this context, a robust and innovative automatic object-based image analysis (OBIA) …
- 241000196324 Embryophyta 0 title abstract description 222
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- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
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