Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
Here, we report the prediction of vegetative stages variables of canary bean crop by means of RGB and multispectral images obtained from UAV during the ripening stage, correlating the vegetation indices with biometric variables measured manually in the field. Results indicated a highly significant c...
| Main Authors: | , , , , , |
|---|---|
| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
MDPI
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/20.500.12955/1854 https://doi.org/10.20944/preprints202106.0139.v1 |
Similar Items: Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
- Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
- Yield predictions of four hybrids of maize (Zea mays) using multispectral images obtained from UAV in the Coast of Peru
- Yield predictions of four hybrids of maize (Zea mays) using multispectral images obtained from RPAS in the coast of Peru
- Yield prediction of four bean (Phaseolus vulgaris) cultivars using vegetation indices based on multispectral images from UAV in an arid zone of Peru
- Detection and segmentation of vine canopy in ultra-high spatial resolution RGB imagery obtained from unmanned aerial vehicle (UAV) :a case study in a commercial vineyard
- Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru